Lecture13_TwitterDataCollection.ipynb

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   "cell_type": "markdown",
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   "source": [
    "# Lecture 13 - Twitter Data Collection\n",
    "In this notebook we will learn how to collect Twitter data using the Twitter API. \n",
    "\n",
    "<ol type = 1>\n",
    "<li> Recent Keyword Tweets</li>\n",
    "    <ol type = a>\n",
    "        <li> Collect recent tweets containing keywords</li>\n",
    "    </ol>\n",
    "<li> Historic Keyword Tweets (Requires Academic API Access)</li>\n",
    "    <ol type = a>\n",
    "        <li> Collect historic tweets containing keywords</li>\n",
    "    </ol>\n",
    "<li> Screen Names From User IDs</li>\n",
    "    <ol type = a>\n",
    "        <li> Collect screen names from user IDs</li>\n",
    "        <li> Update keyword tweets database with screen names </li>\n",
    "    </ol>\n",
    "<li> User Profiles</li>\n",
    "    <ol type = a>\n",
    "        <li> Collect user profiles</li>\n",
    "    </ol>\n",
    " \n",
    "<li>User Tweets</li>\n",
    "    <ol type = a>\n",
    "        <li>Collect the tweets posted by specific users</li>\n",
    "    </ol>\n",
    "\n",
    "<li>User Followings</li>\n",
    "    <ol type = a>\n",
    "        <li>Collect the followings for a set of users</li>\n",
    "    </ol>\n",
    "\n",
    "<li>Build Networks</li>\n",
    "    <ol type = a>\n",
    "        <li> Follower Network </li>\n",
    "            <ol type = a>\n",
    "                <li>Build follower network from a database of user followings</li>\n",
    "            </ol>\n",
    "        <li> Interaction Network </li>\n",
    "            <ol type = a>\n",
    "                <li>Build ineration network from a database of keyword tweets</li>\n",
    "            </ol>\n",
    "        <li> Similarity Network </li>\n",
    "            <ol type = a>\n",
    "                <li>Build similarity network  from an interaction network (for community detection)</li>\n",
    "            </ol>\n",
    "    </ol>\n",
    "    \n",
    "    \n",
    "This notebook will not work in Colab.  Please run it on your local machine."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clones, installs, and imports\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clone GitHub Repository\n",
    "\n",
    "You will have to clone the repository to your local machine before running this notebook.  This can be done from a terminal by typing `git clone https://github.com/zlisto/social_media_analytics.git`.\n",
    "\n",
    "If you have already cloned this repository before, but want to update to the current version, from a terminal change directory to `social_media_analytics` and then type `git pull`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Install Requirements "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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      "  Stored in directory: c:\\users\\trz2\\appdata\\local\\pip\\cache\\wheels\\b7\\0a\\67\\ada2a22079218c75a88361c0782855cc72aebc4d18d0289d05\n",
      "Successfully built pyLDAvis umap-learn sklearn openai pynndescent pathtools\n",
      "Installing collected packages: tokenizers, sklearn, pathtools, funcy, win32-setctime, smmap, setproctitle, sentry-sdk, protobuf, networkx, multidict, frozenlist, docker-pycreds, async-timeout, yarl, loguru, huggingface-hub, gitdb, aiosignal, wordcloud, transformers, pynndescent, pyLDAvis, GitPython, aiohttp, wandb, umap-learn, openai\n",
      "  Attempting uninstall: networkx\n",
      "    Found existing installation: networkx 2.8.4\n",
      "    Uninstalling networkx-2.8.4:\n",
      "      Successfully uninstalled networkx-2.8.4\n",
      "Successfully installed GitPython-3.1.30 aiohttp-3.8.3 aiosignal-1.3.1 async-timeout-4.0.2 docker-pycreds-0.4.0 frozenlist-1.3.3 funcy-1.18 gitdb-4.0.10 huggingface-hub-0.12.0 loguru-0.6.0 multidict-6.0.4 networkx-2.6.3 openai-0.26.4 pathtools-0.1.2 protobuf-4.21.12 pyLDAvis-2.1.2 pynndescent-0.5.8 sentry-sdk-1.14.0 setproctitle-1.3.2 sklearn-0.0.post1 smmap-5.0.0 tokenizers-0.13.2 transformers-4.26.0 umap-learn-0.5.3 wandb-0.13.9 win32-setctime-1.1.0 wordcloud-1.8.2.2 yarl-1.8.2\n"
     ]
    }
   ],
   "source": [
    "!pip install -r requirements.txt\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bearer Token\n",
    "\n",
    "After cloning or pulling the repository, they file `scripts/config.py` will be overwritten to a blank file.  You will need to edit the file by pasting in your Twitter API bearer token as follows: `BEARER0 = 'your bearer token here as a string'`.  This gives you access to the Twitter API.  You can access your bearer token here: https://developer.twitter.com/en/portal/dashboard\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Packages\n",
    "\n",
    "The important import is from `scripts.api` where your bearer token is imported as the variable `BEARER0`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scripts.api import *\n",
    "\n",
    "from scripts.create_graph import *\n",
    "import networkx as nx\n",
    "import networkx.algorithms.community as nx_comm\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import datetime\n",
    "import pickle \n",
    "\n",
    "pd.set_option(\"display.max_colwidth\", None)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Collect Recent Tweets by Keyword with the Twitter API\n",
    "\n",
    "The code below allows you to collect recent tweets (up to seven days ago) that contain a keyword, or one of many in a set of keywords.  The tweets will be saved to a database with filename `fname_db` in a table called `\"keyword_tweets\"`.  \n",
    "\n",
    "The user inputs are as follows:\n",
    "\n",
    "1. `fname_db` =  the database filename where you want to store the tweets.  Do not add the `\".db\"` suffix.\n",
    "\n",
    "2. `target_total` = the total number of tweets you want to collect per keyword.\n",
    "\n",
    "3. `keywords`  = a list of the words you want to search for.  Even if you have one keyword, it must still be in a list.\n",
    "\n",
    "6. `retweets` = `True` if you want to collect retweets, otherwise `False` if you only want to get original tweets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname_db = f\"data/engagement_movies\"  \n",
    "target_total = 100\n",
    "keywords = ['trump'] \n",
    "retweets = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Collect Tweets\n",
    "\n",
    "The `for` loop will go through each keyword in `keywords` and collect up to `target_total` tweets per keyword.  The tweets will be saved to the database in `fname_db` in the table `keyword_tweets`.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#If you want a fresh table, delete the existing table.  Be careful, because this will erase your data.\n",
    "#Uncomment the line below to delete the existing table.\n",
    "\n",
    "#DB.delete(table_name='keyword_tweets', path=fname_db)  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Getting recent tweets for trump\n",
      "[2023-04-28 17:55:47.202] [INFO] [api:fetch_recent:302] Fetched 100 tweets\n",
      "[2023-04-28 17:55:47.255] [INFO] [api:write:61] Writing 100 rows to table keyword_tweets\n"
     ]
    }
   ],
   "source": [
    "#recent search\n",
    "for keyword in keywords:\n",
    "    print(f\"Getting recent tweets for {keyword}\")\n",
    "    df_keyword = History.fetch_recent(keyword=keyword,  \n",
    "                    target_total=target_total, retweets=retweets)       \n",
    "    DB.write(table_name='keyword_tweets', path=fname_db, data=df_keyword)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check `\"keyword_tweets\"` Table\n",
    "\n",
    "We will add some columns to the keyword tweets dataframe to make a nice time series plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "399 keyword tweets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\trz2\\AppData\\Local\\Temp\\ipykernel_16316\\890716987.py:8: FutureWarning: Dropping of nuisance columns in rolling operations is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the operation. Dropped columns were Index(['created_at', 'entities', 'geo', 'lang', 'screen_name', 'text'], dtype='object')\n",
      "  df_keyword ['rate_1D'] = df_keyword .rolling('1D',on = 'created_at_datetime').sum()['tweet_indicator']\n",
      "C:\\Users\\trz2\\AppData\\Local\\Temp\\ipykernel_16316\\890716987.py:9: FutureWarning: Dropping of nuisance columns in rolling operations is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the operation. Dropped columns were Index(['created_at', 'entities', 'geo', 'lang', 'screen_name', 'text'], dtype='object')\n",
      "  df_keyword ['rate_7D'] = df_keyword .rolling('7D',on = 'created_at_datetime').sum()['tweet_indicator']/7\n"
     ]
    }
   ],
   "source": [
    "df_keyword = DB.fetch(table_name='keyword_tweets', path=fname_db)\n",
    "print(f\"{len(df_keyword)} keyword tweets\")\n",
    "\n",
    "format = \"%Y-%m-%d %H:%M:%S\"\n",
    "df_keyword ['created_at_datetime'] = pd.to_datetime(df_keyword ['created_at'],format=format).dt.tz_localize(None)\n",
    "df_keyword .sort_values(by = 'created_at_datetime', inplace = True, ascending = True)\n",
    "df_keyword ['tweet_indicator'] = np.ones(len(df_keyword ))\n",
    "df_keyword ['rate_1D'] = df_keyword .rolling('1D',on = 'created_at_datetime').sum()['tweet_indicator']\n",
    "df_keyword ['rate_7D'] = df_keyword .rolling('7D',on = 'created_at_datetime').sum()['tweet_indicator']/7\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>2023-03-05T23:55:14.000Z</td>\n",
       "      <td>VigilantFox</td>\n",
       "      <td>Vaccine Injuries: The Only Way to Stay Healthy Is to Not Take These Things\\n\\n@P_McCulloughMD: \"People take the vaccines and the first thing they ask is, 'Well, how can I get it out of my body?' Or 'How can I limit my side effects?' People have to understand the only way to stay… https://t.co/2tXHUbITD9 https://t.co/GvX7fyXL0P</td>\n",
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       "      <td>1632530240609067008</td>\n",
       "      <td>191871143</td>\n",
       "      <td>1632530240609067008</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'urls': [{'start': 279, 'end': 302, 'url': 'https://t.co/2tXHUbITD9', 'expanded_url': 'https://twitter.com/i/web/status/1632530240609067008', 'display_url': 'twitter.com/i/web/status/1…'}, {'start': 303, 'end': 326, 'url': 'https://t.co/GvX7fyXL0P', 'expanded_url': 'https://twitter.com/VigilantFox/status/1632530240609067008/video/1', 'display_url': 'pic.twitter.com/GvX7fyXL0P', 'media_key': '7_1632530108941586433'}], 'mentions': [{'start': 76, 'end': 91, 'username': 'P_McCulloughMD', 'id': '1465347964252180493'}]}</td>\n",
       "      <td>2023-03-05 23:55:14</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>2023-03-05T23:49:35.000Z</td>\n",
       "      <td>findgg33</td>\n",
       "      <td>Alot of successful people in the world \\nSacrificed thier moral to get Famous \\n\\nDid things they knew WERE WRONG \\nPROMOTE VACCINE FOR $$$$\\nPROMOTE THINGS THEY DON'T BELIEVE IN FOR $$\\nSTAY SILENT ON THINGS THEY KNOW ARE WRONG FOR $\\n\\nI NEVER DID \\nWOULD HAVE BEEN  RICHER\\nBUT A SLAVE</td>\n",
       "      <td>en</td>\n",
       "      <td>18</td>\n",
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       "      <td>1420919062285201408</td>\n",
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       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>2023-03-05 23:49:35</td>\n",
       "      <td>1.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>21.714286</td>\n",
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       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>2023-03-05T23:45:12.000Z</td>\n",
       "      <td>KimPigSquash</td>\n",
       "      <td>Thank you Anne Tessier, municipal councilor for West Nipissing, Ontario, for publicly apologizing for vaccine mandates, which caused much harm &amp;amp; division &amp;amp; served no medical purpose--all of which was known at the time. How many other town councilors will have this much integrity? https://t.co/mJIkpTXwtA</td>\n",
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       "      <td>281227216</td>\n",
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       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'urls': [{'start': 289, 'end': 312, 'url': 'https://t.co/mJIkpTXwtA', 'expanded_url': 'https://twitter.com/Xx17965797N/status/1632267008321503233', 'display_url': 'twitter.com/Xx17965797N/st…'}]}</td>\n",
       "      <td>2023-03-05 23:45:12</td>\n",
       "      <td>1.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>11.571429</td>\n",
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       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2023-03-05T23:44:05.000Z</td>\n",
       "      <td>M1PowerSports</td>\n",
       "      <td>The Clot Thickens...\\n\\n#The scientist responsible for creating the Corona Virus vaccine was found strangled to death in his home.\\n\\nhttps://t.co/WZHBuwgbSc</td>\n",
       "      <td>en</td>\n",
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       "      <td>1</td>\n",
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       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
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       "      <td>2023-03-05 23:44:05</td>\n",
       "      <td>1.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>8.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>2023-03-05T23:43:07.000Z</td>\n",
       "      <td>unmasking_media</td>\n",
       "      <td>Flashback.\\n\\n\"It's not fair on the vaccinated to ask them to make sacrifices for the very small number of people who have not become vaccinated,\" QLD CHO John Gerrard and @SylviaJeffreys endorsing tyrannical social segregation and unethical jab mandates. \\nhttps://t.co/VRR0pwHCqj</td>\n",
       "      <td>en</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>447</td>\n",
       "      <td>1632527190956048384</td>\n",
       "      <td>1538396215674834944</td>\n",
       "      <td>1632527190956048384</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'urls': [{'start': 255, 'end': 278, 'url': 'https://t.co/VRR0pwHCqj', 'expanded_url': 'https://www.dailymail.co.uk/news/article-10310109/Covid-Australia-Sylvia-Jeffreys-CLASHES-Gold-Coast-restaurant-owner-vaccine-rules.html', 'display_url': 'dailymail.co.uk/news/article-1…', 'images': [{'url': 'https://pbs.twimg.com/news_img/1632527201085329408/pz12ydd1?format=jpg&amp;name=orig', 'width': 636, 'height': 382}, {'url': 'https://pbs.twimg.com/news_img/1632527201085329408/pz12ydd1?format=jpg&amp;name=150x150', 'width': 150, 'height': 150}], 'status': 200, 'title': 'Sylvia Jeffreys CLASHES with restaurant owner over vaccine rules\\xa0', 'description': \"Gold Coast businessman Glen Day has vowed to flout a rule banning the unvaccinated from hospitality venues in Queensland. He said the government was 'taking away people's freedom'.\", 'unwound_url': 'https://www.dailymail.co.uk/news/article-10310109/Covid-Australia-Sylvia-Jeffreys-CLASHES-Gold-Coast-restaurant-owner-vaccine-rules.html'}], 'mentions': [{'start': 170, 'end': 185, 'username': 'SylviaJeffreys', 'id': '70058635'}]}</td>\n",
       "      <td>2023-03-05 23:43:07</td>\n",
       "      <td>1.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>6.285714</td>\n",
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       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>2023-03-05T23:48:47.000Z</td>\n",
       "      <td>guffynicola</td>\n",
       "      <td>@DavidJo18187087 @MrBiswaz @ClarkeMicah Good point. It is important to stress that covid 19 was a *novel* coronavirus for which there was no vaccine.</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>1632528616402866178</td>\n",
       "      <td>1007838595</td>\n",
       "      <td>1632192174094962688</td>\n",
       "      <td>1191798969992646658</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'annotations': [{'start': 83, 'end': 90, 'probability': 0.9732, 'type': 'Other', 'normalized_text': 'covid 19'}, {'start': 106, 'end': 116, 'probability': 0.9202, 'type': 'Other', 'normalized_text': 'coronavirus'}], 'mentions': [{'start': 0, 'end': 16, 'username': 'DavidJo18187087', 'id': '1191798969992646658'}, {'start': 17, 'end': 26, 'username': 'MrBiswaz', 'id': '1147826707715579904'}, {'start': 27, 'end': 39, 'username': 'ClarkeMicah', 'id': '405605548'}]}</td>\n",
       "      <td>2023-03-05 23:48:47</td>\n",
       "      <td>1.0</td>\n",
       "      <td>142.0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>2023-03-05T23:48:42.000Z</td>\n",
       "      <td>YeohCC</td>\n",
       "      <td>@AlawiyahYussof @esshimself cincai la..Use another people's life to as long as can clear off the stockpile. Why not tel all pharmaniaga staff &amp;amp; family members &amp;amp; doctors to jab all the unsold vaccine?  Because they know the vaccine 100% got long term side effect.?</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
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       "      <td>149444359</td>\n",
       "      <td>1632349751814557697</td>\n",
       "      <td>318297378</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'mentions': [{'start': 0, 'end': 15, 'username': 'AlawiyahYussof', 'id': '318297378'}, {'start': 16, 'end': 27, 'username': 'esshimself', 'id': '995676017451720704'}]}</td>\n",
       "      <td>2023-03-05 23:48:42</td>\n",
       "      <td>1.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>20.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>2023-03-05T23:48:41.000Z</td>\n",
       "      <td>LogicalEdward</td>\n",
       "      <td>@RWMaloneMD Please investigate this doctor and her organization. Who is funding them to spread COVID vaccine lies.\\nWould not be surprised if funded by Pfizer, and Biden Regime.\\nhttps://t.co/FcUaQdhKrR</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>1632528591056453632</td>\n",
       "      <td>1561333634593964033</td>\n",
       "      <td>1632474720707723264</td>\n",
       "      <td>39844876</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'urls': [{'start': 177, 'end': 200, 'url': 'https://t.co/FcUaQdhKrR', 'expanded_url': 'https://www.misinformationkills.org/our-team', 'display_url': 'misinformationkills.org/our-team', 'status': 200, 'title': 'Our Team — MisinformationKills', 'unwound_url': 'https://www.misinformationkills.org/our-team'}], 'annotations': [{'start': 95, 'end': 107, 'probability': 0.8283, 'type': 'Other', 'normalized_text': 'COVID vaccine'}, {'start': 151, 'end': 156, 'probability': 0.9584, 'type': 'Organization', 'normalized_text': 'Pfizer'}, {'start': 163, 'end': 174, 'probability': 0.4203, 'type': 'Other', 'normalized_text': 'Biden Regime'}], 'mentions': [{'start': 0, 'end': 11, 'username': 'RWMaloneMD', 'id': '39844876'}]}</td>\n",
       "      <td>2023-03-05 23:48:41</td>\n",
       "      <td>1.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>2023-03-05T23:48:40.000Z</td>\n",
       "      <td>HawkeyeRoad</td>\n",
       "      <td>@realMeetJames @Patrick13369301 I took the jab due to risking losing a 20+ year career. I'm now vaccine illness diagnosed. My physician has vaccine diagnosed over 400 patients he told me without giving away private info. So no. The vaccine doesn't do a thing. It'll make millions sick and kill more. Just wait.</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1632528587323473927</td>\n",
       "      <td>1596222472495501324</td>\n",
       "      <td>1631659744099270657</td>\n",
       "      <td>1519065580225150977</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'mentions': [{'start': 0, 'end': 14, 'username': 'realMeetJames', 'id': '1519065580225150977'}, {'start': 15, 'end': 31, 'username': 'Patrick13369301', 'id': '1468922403023638529'}]}</td>\n",
       "      <td>2023-03-05 23:48:40</td>\n",
       "      <td>1.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>19.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-03-05T23:59:59.000Z</td>\n",
       "      <td>mayelly_09</td>\n",
       "      <td>@HilkerCharles27 We All Stand against the vaccine \\n\\nhttps://t.co/DJ6O20sE5H</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1632531433246924800</td>\n",
       "      <td>241935465</td>\n",
       "      <td>1632478359270617088</td>\n",
       "      <td>1586529031725400064</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'mentions': [{'start': 0, 'end': 16, 'username': 'HilkerCharles27', 'id': '1586529031725400064'}], 'urls': [{'start': 52, 'end': 75, 'url': 'https://t.co/DJ6O20sE5H', 'expanded_url': 'http://bit.ly/3mjHKp3', 'display_url': 'bit.ly/3mjHKp3', 'images': [{'url': 'https://pbs.twimg.com/news_img/1632178010643128321/jnVsC0wL?format=jpg&amp;name=orig', 'width': 320, 'height': 320}, {'url': 'https://pbs.twimg.com/news_img/1632178010643128321/jnVsC0wL?format=jpg&amp;name=150x150', 'width': 150, 'height': 150}], 'status': 200, 'title': 'VACCINE FREEDOM FIGHTERS', 'description': 'Unvaccinated Freedom fighters community ; This group is for the vaxxed and unvaxed that are fighting and standing for FREEDOM WORLDWIDE 🌍', 'unwound_url': 'https://t.me/+g_EaqDYbHI5kMmZk'}]}</td>\n",
       "      <td>2023-03-05 23:59:59</td>\n",
       "      <td>1.0</td>\n",
       "      <td>399.0</td>\n",
       "      <td>57.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>399 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   created_at      screen_name  \\\n",
       "138  2023-03-05T23:55:14.000Z      VigilantFox   \n",
       "246  2023-03-05T23:49:35.000Z         findgg33   \n",
       "319  2023-03-05T23:45:12.000Z     KimPigSquash   \n",
       "339  2023-03-05T23:44:05.000Z    M1PowerSports   \n",
       "355  2023-03-05T23:43:07.000Z  unmasking_media   \n",
       "..                        ...              ...   \n",
       "257  2023-03-05T23:48:47.000Z      guffynicola   \n",
       "258  2023-03-05T23:48:42.000Z           YeohCC   \n",
       "259  2023-03-05T23:48:41.000Z    LogicalEdward   \n",
       "260  2023-03-05T23:48:40.000Z      HawkeyeRoad   \n",
       "0    2023-03-05T23:59:59.000Z       mayelly_09   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                         text  \\\n",
       "138  Vaccine Injuries: The Only Way to Stay Healthy Is to Not Take These Things\\n\\n@P_McCulloughMD: \"People take the vaccines and the first thing they ask is, 'Well, how can I get it out of my body?' Or 'How can I limit my side effects?' People have to understand the only way to stay… https://t.co/2tXHUbITD9 https://t.co/GvX7fyXL0P   \n",
       "246                                          Alot of successful people in the world \\nSacrificed thier moral to get Famous \\n\\nDid things they knew WERE WRONG \\nPROMOTE VACCINE FOR $$$$\\nPROMOTE THINGS THEY DON'T BELIEVE IN FOR $$\\nSTAY SILENT ON THINGS THEY KNOW ARE WRONG FOR $\\n\\nI NEVER DID \\nWOULD HAVE BEEN  RICHER\\nBUT A SLAVE   \n",
       "319                  Thank you Anne Tessier, municipal councilor for West Nipissing, Ontario, for publicly apologizing for vaccine mandates, which caused much harm &amp; division &amp; served no medical purpose--all of which was known at the time. How many other town councilors will have this much integrity? https://t.co/mJIkpTXwtA   \n",
       "339                                                                                                                                                                             The Clot Thickens...\\n\\n#The scientist responsible for creating the Corona Virus vaccine was found strangled to death in his home.\\n\\nhttps://t.co/WZHBuwgbSc   \n",
       "355                                                 Flashback.\\n\\n\"It's not fair on the vaccinated to ask them to make sacrifices for the very small number of people who have not become vaccinated,\" QLD CHO John Gerrard and @SylviaJeffreys endorsing tyrannical social segregation and unethical jab mandates. \\nhttps://t.co/VRR0pwHCqj   \n",
       "..                                                                                                                                                                                                                                                                                                                                        ...   \n",
       "257                                                                                                                                                                                     @DavidJo18187087 @MrBiswaz @ClarkeMicah Good point. It is important to stress that covid 19 was a *novel* coronavirus for which there was no vaccine.   \n",
       "258                                                           @AlawiyahYussof @esshimself cincai la..Use another people's life to as long as can clear off the stockpile. Why not tel all pharmaniaga staff &amp; family members &amp; doctors to jab all the unsold vaccine?  Because they know the vaccine 100% got long term side effect.?   \n",
       "259                                                                                                                                @RWMaloneMD Please investigate this doctor and her organization. Who is funding them to spread COVID vaccine lies.\\nWould not be surprised if funded by Pfizer, and Biden Regime.\\nhttps://t.co/FcUaQdhKrR   \n",
       "260                    @realMeetJames @Patrick13369301 I took the jab due to risking losing a 20+ year career. I'm now vaccine illness diagnosed. My physician has vaccine diagnosed over 400 patients he told me without giving away private info. So no. The vaccine doesn't do a thing. It'll make millions sick and kill more. Just wait.   \n",
       "0                                                                                                                                                                                                                                                               @HilkerCharles27 We All Stand against the vaccine \\n\\nhttps://t.co/DJ6O20sE5H   \n",
       "\n",
       "    lang  retweet_count  reply_count  like_count  quote_count  \\\n",
       "138   en            334           19         868            8   \n",
       "246   en             18            2          99            0   \n",
       "319   en             13            3          39            0   \n",
       "339   en             12            1          20            0   \n",
       "355   en             11            2          20            0   \n",
       "..   ...            ...          ...         ...          ...   \n",
       "257   en              0            1           1            0   \n",
       "258   en              0            0           0            0   \n",
       "259   en              0            0           0            0   \n",
       "260   en              0            0           0            0   \n",
       "0     en              0            0           0            0   \n",
       "\n",
       "     impression_count                   id            author_id  \\\n",
       "138             43938  1632530240609067008            191871143   \n",
       "246              4711  1632528816974209025  1420919062285201408   \n",
       "319              1092  1632527713578926080            281227216   \n",
       "339               419  1632527434657546250            414969147   \n",
       "355               447  1632527190956048384  1538396215674834944   \n",
       "..                ...                  ...                  ...   \n",
       "257                13  1632528616402866178           1007838595   \n",
       "258                30  1632528593996906496            149444359   \n",
       "259                15  1632528591056453632  1561333634593964033   \n",
       "260                 6  1632528587323473927  1596222472495501324   \n",
       "0                   2  1632531433246924800            241935465   \n",
       "\n",
       "         conversation_id  in_reply_to_user_id  geo  \\\n",
       "138  1632530240609067008                  nan  nan   \n",
       "246  1632528816974209025                  nan  nan   \n",
       "319  1632527713578926080                  nan  nan   \n",
       "339  1632527434657546250                  nan  nan   \n",
       "355  1632527190956048384                  nan  nan   \n",
       "..                   ...                  ...  ...   \n",
       "257  1632192174094962688  1191798969992646658  nan   \n",
       "258  1632349751814557697            318297378  nan   \n",
       "259  1632474720707723264             39844876  nan   \n",
       "260  1631659744099270657  1519065580225150977  nan   \n",
       "0    1632478359270617088  1586529031725400064  nan   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        entities  \\\n",
       "138                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     {'urls': [{'start': 279, 'end': 302, 'url': 'https://t.co/2tXHUbITD9', 'expanded_url': 'https://twitter.com/i/web/status/1632530240609067008', 'display_url': 'twitter.com/i/web/status/1…'}, {'start': 303, 'end': 326, 'url': 'https://t.co/GvX7fyXL0P', 'expanded_url': 'https://twitter.com/VigilantFox/status/1632530240609067008/video/1', 'display_url': 'pic.twitter.com/GvX7fyXL0P', 'media_key': '7_1632530108941586433'}], 'mentions': [{'start': 76, 'end': 91, 'username': 'P_McCulloughMD', 'id': '1465347964252180493'}]}   \n",
       "246                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          nan   \n",
       "319                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         {'urls': [{'start': 289, 'end': 312, 'url': 'https://t.co/mJIkpTXwtA', 'expanded_url': 'https://twitter.com/Xx17965797N/status/1632267008321503233', 'display_url': 'twitter.com/Xx17965797N/st…'}]}   \n",
       "339  {'hashtags': [{'start': 22, 'end': 26, 'tag': 'The'}], 'urls': [{'start': 130, 'end': 153, 'url': 'https://t.co/WZHBuwgbSc', 'expanded_url': 'https://www.dailymail.co.uk/news/article-11817825/Russian-scientist-created-Covid-vaccine-strangled-death-belt-apartment.html', 'display_url': 'dailymail.co.uk/news/article-1…', 'images': [{'url': 'https://pbs.twimg.com/news_img/1631740288635904001/NnUS3qSm?format=jpg&name=orig', 'width': 636, 'height': 382}, {'url': 'https://pbs.twimg.com/news_img/1631740288635904001/NnUS3qSm?format=jpg&name=150x150', 'width': 150, 'height': 150}], 'status': 200, 'title': \"Russian scientist who created Covid vaccine 'strangled to death'\", 'description': 'Andrey Botikov, found dead in his Moscow apartment, was one of 18 who worked on the Sputnik V vaccine during the pandemic. Sputnik was the first registered vaccine against Covid.', 'unwound_url': 'https://www.dailymail.co.uk/news/article-11817825/Russian-scientist-created-Covid-vaccine-strangled-death-belt-apartment.html'}], 'annotations': [{'start': 66, 'end': 77, 'probability': 0.9329, 'type': 'Other', 'normalized_text': 'Corona Virus'}]}   \n",
       "355                                                        {'urls': [{'start': 255, 'end': 278, 'url': 'https://t.co/VRR0pwHCqj', 'expanded_url': 'https://www.dailymail.co.uk/news/article-10310109/Covid-Australia-Sylvia-Jeffreys-CLASHES-Gold-Coast-restaurant-owner-vaccine-rules.html', 'display_url': 'dailymail.co.uk/news/article-1…', 'images': [{'url': 'https://pbs.twimg.com/news_img/1632527201085329408/pz12ydd1?format=jpg&name=orig', 'width': 636, 'height': 382}, {'url': 'https://pbs.twimg.com/news_img/1632527201085329408/pz12ydd1?format=jpg&name=150x150', 'width': 150, 'height': 150}], 'status': 200, 'title': 'Sylvia Jeffreys CLASHES with restaurant owner over vaccine rules\\xa0', 'description': \"Gold Coast businessman Glen Day has vowed to flout a rule banning the unvaccinated from hospitality venues in Queensland. He said the government was 'taking away people's freedom'.\", 'unwound_url': 'https://www.dailymail.co.uk/news/article-10310109/Covid-Australia-Sylvia-Jeffreys-CLASHES-Gold-Coast-restaurant-owner-vaccine-rules.html'}], 'mentions': [{'start': 170, 'end': 185, 'username': 'SylviaJeffreys', 'id': '70058635'}]}   \n",
       "..                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           ...   \n",
       "257                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           {'annotations': [{'start': 83, 'end': 90, 'probability': 0.9732, 'type': 'Other', 'normalized_text': 'covid 19'}, {'start': 106, 'end': 116, 'probability': 0.9202, 'type': 'Other', 'normalized_text': 'coronavirus'}], 'mentions': [{'start': 0, 'end': 16, 'username': 'DavidJo18187087', 'id': '1191798969992646658'}, {'start': 17, 'end': 26, 'username': 'MrBiswaz', 'id': '1147826707715579904'}, {'start': 27, 'end': 39, 'username': 'ClarkeMicah', 'id': '405605548'}]}   \n",
       "258                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     {'mentions': [{'start': 0, 'end': 15, 'username': 'AlawiyahYussof', 'id': '318297378'}, {'start': 16, 'end': 27, 'username': 'esshimself', 'id': '995676017451720704'}]}   \n",
       "259                                                                                                                                                                                                                                                                                                                                                                                                                               {'urls': [{'start': 177, 'end': 200, 'url': 'https://t.co/FcUaQdhKrR', 'expanded_url': 'https://www.misinformationkills.org/our-team', 'display_url': 'misinformationkills.org/our-team', 'status': 200, 'title': 'Our Team — MisinformationKills', 'unwound_url': 'https://www.misinformationkills.org/our-team'}], 'annotations': [{'start': 95, 'end': 107, 'probability': 0.8283, 'type': 'Other', 'normalized_text': 'COVID vaccine'}, {'start': 151, 'end': 156, 'probability': 0.9584, 'type': 'Organization', 'normalized_text': 'Pfizer'}, {'start': 163, 'end': 174, 'probability': 0.4203, 'type': 'Other', 'normalized_text': 'Biden Regime'}], 'mentions': [{'start': 0, 'end': 11, 'username': 'RWMaloneMD', 'id': '39844876'}]}   \n",
       "260                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      {'mentions': [{'start': 0, 'end': 14, 'username': 'realMeetJames', 'id': '1519065580225150977'}, {'start': 15, 'end': 31, 'username': 'Patrick13369301', 'id': '1468922403023638529'}]}   \n",
       "0                                                                                                                                                                                                                                                                                                                                                                                        {'mentions': [{'start': 0, 'end': 16, 'username': 'HilkerCharles27', 'id': '1586529031725400064'}], 'urls': [{'start': 52, 'end': 75, 'url': 'https://t.co/DJ6O20sE5H', 'expanded_url': 'http://bit.ly/3mjHKp3', 'display_url': 'bit.ly/3mjHKp3', 'images': [{'url': 'https://pbs.twimg.com/news_img/1632178010643128321/jnVsC0wL?format=jpg&name=orig', 'width': 320, 'height': 320}, {'url': 'https://pbs.twimg.com/news_img/1632178010643128321/jnVsC0wL?format=jpg&name=150x150', 'width': 150, 'height': 150}], 'status': 200, 'title': 'VACCINE FREEDOM FIGHTERS', 'description': 'Unvaccinated Freedom fighters community ; This group is for the vaxxed and unvaxed that are fighting and standing for FREEDOM WORLDWIDE 🌍', 'unwound_url': 'https://t.me/+g_EaqDYbHI5kMmZk'}]}   \n",
       "\n",
       "    created_at_datetime  tweet_indicator  rate_1D    rate_7D  \n",
       "138 2023-03-05 23:55:14              1.0    261.0  37.285714  \n",
       "246 2023-03-05 23:49:35              1.0    152.0  21.714286  \n",
       "319 2023-03-05 23:45:12              1.0     81.0  11.571429  \n",
       "339 2023-03-05 23:44:05              1.0     60.0   8.571429  \n",
       "355 2023-03-05 23:43:07              1.0     44.0   6.285714  \n",
       "..                  ...              ...      ...        ...  \n",
       "257 2023-03-05 23:48:47              1.0    142.0  20.285714  \n",
       "258 2023-03-05 23:48:42              1.0    141.0  20.142857  \n",
       "259 2023-03-05 23:48:41              1.0    140.0  20.000000  \n",
       "260 2023-03-05 23:48:40              1.0    139.0  19.857143  \n",
       "0   2023-03-05 23:59:59              1.0    399.0  57.000000  \n",
       "\n",
       "[399 rows x 19 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_keyword.sort_values(by = 'retweet_count', ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Head:\n",
      "99    2023-03-06T00:10:39.000Z\n",
      "98    2023-03-06T00:11:07.000Z\n",
      "97    2023-03-06T00:11:33.000Z\n",
      "Name: created_at, dtype: object\n",
      "Tail:\n",
      "2    2023-03-06T01:22:39.000Z\n",
      "1    2023-03-06T01:23:27.000Z\n",
      "0    2023-03-06T01:23:38.000Z\n",
      "Name: created_at, dtype: object\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print(f\"Head:\\n{df_keyword .created_at.head(n=3)}\")\n",
    "print(f\"Tail:\\n{df_keyword .created_at.tail(n=3)}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig = plt.figure(figsize = (12,6))\n",
    "sns.lineplot(data = df_keyword , \n",
    "             x = 'created_at_datetime',\n",
    "             y = 'rate_1D',\n",
    "             label = 'window = 1 day',\n",
    "             linewidth = .5,\n",
    "             color = 'blue')\n",
    "sns.lineplot(data = df_keyword , \n",
    "             x = 'created_at_datetime',\n",
    "             y = 'rate_7D',\n",
    "             label = 'window = 7 days', \n",
    "             linewidth = 2,\n",
    "             color = 'purple')\n",
    "\n",
    "plt.grid()\n",
    "plt.xlabel(\"Time [UTC]\", fontsize = 14)\n",
    "\n",
    "plt.ylabel(\"Rate [tweets/day]\", fontsize = 14)\n",
    "#plt.xlim(datetime.date(2020, 10, 1),datetime.date(2021,1,1))\n",
    "#plt.ylim([0,30])\n",
    "plt.title(f\"Keyword Tweets\",fontsize = 20)\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Collect Historic Tweets by Keyword with the Twitter API (Requires Academic Access)\n",
    "\n",
    "The code below allows you to collect historic tweets that contain a keyword, or one of many in a set of keywords.  You need academic access for this to work.  If you only have essential access, you can only do a search for recent tweets.  The tweets will be saved to a database with filename `fname_db` in a table called `\"keyword_tweets\"`.  \n",
    "\n",
    "The user inputs are as follows:\n",
    "\n",
    "1. `fname_db` =  the database filename where you want to store the tweets.  Do not add the `\".db\"` suffix.\n",
    "\n",
    "2. `target_total` = the total number of tweets you want to collect per keyword.\n",
    "\n",
    "3. `keywords`  = a list of the words you want to search for.  Even if you have one keyword, it must still be in a list.\n",
    "\n",
    "4. `start_date` = string of the earliest date of tweets you want.  Should be in `yyyy-mm-dd` format.\n",
    "\n",
    "5. `end_date` = string of the latest date of tweets you want.  Should be in `yyyy-mm-dd` format.  WARNING:  If `end_date` is a future date, the code will not work.  Make sure not to go beyond today.\n",
    "\n",
    "6. `retweets` = `True` if you want to collect retweets, otherwise `False` if you only want to get original tweets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname_db = f\"data/ejmr\"  \n",
    "target_total = 5000\n",
    "keywords = ['trump'] \n",
    "retweets = False\n",
    "start_date = '2023-03-09'   \n",
    "end_date = '2023-04-09'\n",
    "retweets = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Collect Historic Tweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#If you want a fresh table, delete the existing table.  Be careful, because this will erase your data.\n",
    "#Uncomment the line below to delete the existing table.\n",
    "\n",
    "#DB.delete(table_name='keyword_tweets', path=fname_db)  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Getting tweets for trump\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_1068\\1336427905.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mkeyword\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mkeywords\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m     \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"Getting tweets for {keyword}\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     df_keyword = History.fetch(keyword=keyword, start_date= start_date, end_date= end_date, \n\u001b[0m\u001b[0;32m      4\u001b[0m                     target_total=target_total, retweets=retweets)       \n\u001b[0;32m      5\u001b[0m     \u001b[0mDB\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtable_name\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'keyword_tweets'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfname_db\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdf_keyword\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Dropbox\\Classes\\2023Spring\\MGT575\\social_media_analytics\\scripts\\api.py\u001b[0m in \u001b[0;36mfetch\u001b[1;34m(cls, keyword, start_date, end_date, max_results, target_total, token_number, sleep_time, tag, language, retweets)\u001b[0m\n\u001b[0;32m    222\u001b[0m                                        start_date=start_date, end_date=end_date, max_results=max_results)\n\u001b[0;32m    223\u001b[0m         \u001b[1;32mwhile\u001b[0m \u001b[0mcounter\u001b[0m \u001b[1;33m<\u001b[0m \u001b[0mtarget_total\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 224\u001b[1;33m             \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    225\u001b[0m             \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"GET\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mSEARCH\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mheaders\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mparams\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    226\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mresponse\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstatus_code\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;36m429\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "for keyword in keywords:\n",
    "    print(f\"Getting tweets for {keyword}\")\n",
    "    df_keyword = History.fetch(keyword=keyword, start_date= start_date, end_date= end_date, \n",
    "                    target_total=target_total, retweets=retweets)       \n",
    "    DB.write(table_name='keyword_tweets', path=fname_db, data=df_keyword)\n",
    "\n",
    "df_keyword.head(n=3)    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "59 keyword tweets\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>created_at</th>\n",
       "      <th>screen_name</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-04-07T14:47:06.000Z</td>\n",
       "      <td>None</td>\n",
       "      <td>The U.S. Treasury issued a report on illicit finance risk assessment of #DeFi. \\n\\nFinding a way to integrate the crypto industry with AML/CFT compliance into DeFi services. \\n\\n“How?”\\n\\nA so-called “academic #Barbie” (on EJMR) published a solo paper on that:\\n\\nhttps://t.co/JipMqsVl6z</td>\n",
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       "      <td>nan</td>\n",
       "      <td>None</td>\n",
       "      <td>{'hashtags': [{'start': 72, 'end': 77, 'tag': 'DeFi'}, {'start': 204, 'end': 211, 'tag': 'Barbie'}], 'urls': [{'start': 256, 'end': 279, 'url': 'https://t.co/JipMqsVl6z', 'expanded_url': 'https://www.sciencedirect.com/science/article/abs/pii/S0148296322010232', 'display_url': 'sciencedirect.com/science/articl…', 'images': [{'url': 'https://pbs.twimg.com/news_img/1644351099430662144/Yv7vGi1x?format=jpg&amp;name=orig', 'width': 113, 'height': 150}, {'url': 'https://pbs.twimg.com/news_img/1644351099430662144/Yv7vGi1x?format=jpg&amp;name=150x150', 'width': 113, 'height': 113}], 'status': 200, 'title': 'Importance of anti-money laundering regulations among prosumers for a cybersecure decentralized finance', 'description': 'This study displays the importance of anti-money laundering (AML) regulations among prosumers in decentralized finance (DeFi) in establishing cybersec…', 'unwound_url': 'https://www.sciencedirect.com/science/article/abs/pii/S0148296322010232'}], 'annotations': [{'start': 4, 'end': 16, 'probability': 0.6614, 'type': 'Organization', 'normalized_text': 'U.S. Treasury'}, {'start': 73, 'end': 76, 'probability': 0.4355, 'type': 'Organization', 'normalized_text': 'DeFi'}, {'start': 133, 'end': 135, 'probability': 0.452, 'type': 'Organization', 'normalized_text': 'AML'}, {'start': 137, 'end': 139, 'probability': 0.4642, 'type': 'Organization', 'normalized_text': 'CFT'}, {'start': 205, 'end': 210, 'probability': 0.4406, 'type': 'Other', 'normalized_text': 'Barbie'}, {'start': 217, 'end': 220, 'probability': 0.5682, 'type': 'Other', 'normalized_text': 'EJMR'}]}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-03-31T13:50:05.000Z</td>\n",
       "      <td>None</td>\n",
       "      <td>#EJMRFinance #Ejmr_Finance #Finance \\nEJMR Finance is a financial model that utilizes economic journal monthly returns (EJMR) to evaluate the performance of investment portfolios. The model is based on the idea that the...Read More\\nhttps://t.co/ceAhDZB1jN</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1641800033493217283</td>\n",
       "      <td>1634204813868302337</td>\n",
       "      <td>1641800033493217283</td>\n",
       "      <td>nan</td>\n",
       "      <td>None</td>\n",
       "      <td>{'hashtags': [{'start': 0, 'end': 12, 'tag': 'EJMRFinance'}, {'start': 13, 'end': 26, 'tag': 'Ejmr_Finance'}, {'start': 27, 'end': 35, 'tag': 'Finance'}], 'urls': [{'start': 231, 'end': 254, 'url': 'https://t.co/ceAhDZB1jN', 'expanded_url': 'https://trendingnewsmax.blogspot.com/2023/03/ejmr-finance-comprehensive-guide.html', 'display_url': 'trendingnewsmax.blogspot.com/2023/03/ejmr-f…', 'images': [{'url': 'https://pbs.twimg.com/news_img/1641800076258340865/eth3yZHD?format=jpg&amp;name=orig', 'width': 639, 'height': 426}, {'url': 'https://pbs.twimg.com/news_img/1641800076258340865/eth3yZHD?format=jpg&amp;name=150x150', 'width': 150, 'height': 150}], 'status': 200, 'title': 'EJMR Finance: A Comprehensive Guide', 'description': 'EJMR Finance is a financial model that utilizes economic journal monthly returns (EJMR) to evaluate the performance of investment portfolios', 'unwound_url': 'https://trendingnewsmax.blogspot.com/2023/03/ejmr-finance-comprehensive-guide.html'}], 'annotations': [{'start': 1, 'end': 11, 'probability': 0.7061, 'type': 'Organization', 'normalized_text': 'EJMRFinance'}, {'start': 14, 'end': 25, 'probability': 0.5235, 'type': 'Other', 'normalized_text': 'Ejmr_Finance'}, {'start': 37, 'end': 40, 'probability': 0.4276, 'type': 'Other', 'normalized_text': 'EJMR'}, {'start': 119, 'end': 122, 'probability': 0.4618, 'type': 'Organization', 'normalized_text': 'EJMR'}]}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-03-29T02:25:03.000Z</td>\n",
       "      <td>None</td>\n",
       "      <td>@TrevonDLogan @SandyDarity Your EJMR is ruining not just Economics but many other academic disciplines too! BTW, no minority progress can be made in your field of Economics until EJMR is around. #EconTwitter</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>531071556</td>\n",
       "      <td>None</td>\n",
       "      <td>{'hashtags': [{'start': 195, 'end': 207, 'tag': 'EconTwitter'}], 'mentions': [{'start': 0, 'end': 13, 'username': 'TrevonDLogan', 'id': '531071556'}, {'start': 14, 'end': 26, 'username': 'SandyDarity', 'id': '408036857'}], 'annotations': [{'start': 32, 'end': 35, 'probability': 0.7732, 'type': 'Other', 'normalized_text': 'EJMR'}, {'start': 179, 'end': 182, 'probability': 0.7211, 'type': 'Other', 'normalized_text': 'EJMR'}, {'start': 196, 'end': 206, 'probability': 0.7689, 'type': 'Other', 'normalized_text': 'EconTwitter'}]}</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "                 created_at screen_name  \\\n",
       "0  2023-04-07T14:47:06.000Z        None   \n",
       "1  2023-03-31T13:50:05.000Z        None   \n",
       "2  2023-03-29T02:25:03.000Z        None   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                              text  \\\n",
       "0  The U.S. Treasury issued a report on illicit finance risk assessment of #DeFi. \\n\\nFinding a way to integrate the crypto industry with AML/CFT compliance into DeFi services. \\n\\n“How?”\\n\\nA so-called “academic #Barbie” (on EJMR) published a solo paper on that:\\n\\nhttps://t.co/JipMqsVl6z   \n",
       "1                                 #EJMRFinance #Ejmr_Finance #Finance \\nEJMR Finance is a financial model that utilizes economic journal monthly returns (EJMR) to evaluate the performance of investment portfolios. The model is based on the idea that the...Read More\\nhttps://t.co/ceAhDZB1jN   \n",
       "2                                                                                  @TrevonDLogan @SandyDarity Your EJMR is ruining not just Economics but many other academic disciplines too! BTW, no minority progress can be made in your field of Economics until EJMR is around. #EconTwitter   \n",
       "\n",
       "  lang  retweet_count  reply_count  like_count  quote_count  impression_count  \\\n",
       "0   en              0            0           6            0               476   \n",
       "1   en              0            0           0            0                 3   \n",
       "2   en              0            1           1            0               938   \n",
       "\n",
       "                    id            author_id      conversation_id  \\\n",
       "0  1644351097086066694  1098978739680088069  1644351097086066694   \n",
       "1  1641800033493217283  1634204813868302337  1641800033493217283   \n",
       "2  1640902862317445125  1309680012769992705  1640900436042342402   \n",
       "\n",
       "  in_reply_to_user_id   geo  \\\n",
       "0                 nan  None   \n",
       "1                 nan  None   \n",
       "2           531071556  None   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          entities  \n",
       "0  {'hashtags': [{'start': 72, 'end': 77, 'tag': 'DeFi'}, {'start': 204, 'end': 211, 'tag': 'Barbie'}], 'urls': [{'start': 256, 'end': 279, 'url': 'https://t.co/JipMqsVl6z', 'expanded_url': 'https://www.sciencedirect.com/science/article/abs/pii/S0148296322010232', 'display_url': 'sciencedirect.com/science/articl…', 'images': [{'url': 'https://pbs.twimg.com/news_img/1644351099430662144/Yv7vGi1x?format=jpg&name=orig', 'width': 113, 'height': 150}, {'url': 'https://pbs.twimg.com/news_img/1644351099430662144/Yv7vGi1x?format=jpg&name=150x150', 'width': 113, 'height': 113}], 'status': 200, 'title': 'Importance of anti-money laundering regulations among prosumers for a cybersecure decentralized finance', 'description': 'This study displays the importance of anti-money laundering (AML) regulations among prosumers in decentralized finance (DeFi) in establishing cybersec…', 'unwound_url': 'https://www.sciencedirect.com/science/article/abs/pii/S0148296322010232'}], 'annotations': [{'start': 4, 'end': 16, 'probability': 0.6614, 'type': 'Organization', 'normalized_text': 'U.S. Treasury'}, {'start': 73, 'end': 76, 'probability': 0.4355, 'type': 'Organization', 'normalized_text': 'DeFi'}, {'start': 133, 'end': 135, 'probability': 0.452, 'type': 'Organization', 'normalized_text': 'AML'}, {'start': 137, 'end': 139, 'probability': 0.4642, 'type': 'Organization', 'normalized_text': 'CFT'}, {'start': 205, 'end': 210, 'probability': 0.4406, 'type': 'Other', 'normalized_text': 'Barbie'}, {'start': 217, 'end': 220, 'probability': 0.5682, 'type': 'Other', 'normalized_text': 'EJMR'}]}  \n",
       "1                                                                                                                                                                                                 {'hashtags': [{'start': 0, 'end': 12, 'tag': 'EJMRFinance'}, {'start': 13, 'end': 26, 'tag': 'Ejmr_Finance'}, {'start': 27, 'end': 35, 'tag': 'Finance'}], 'urls': [{'start': 231, 'end': 254, 'url': 'https://t.co/ceAhDZB1jN', 'expanded_url': 'https://trendingnewsmax.blogspot.com/2023/03/ejmr-finance-comprehensive-guide.html', 'display_url': 'trendingnewsmax.blogspot.com/2023/03/ejmr-f…', 'images': [{'url': 'https://pbs.twimg.com/news_img/1641800076258340865/eth3yZHD?format=jpg&name=orig', 'width': 639, 'height': 426}, {'url': 'https://pbs.twimg.com/news_img/1641800076258340865/eth3yZHD?format=jpg&name=150x150', 'width': 150, 'height': 150}], 'status': 200, 'title': 'EJMR Finance: A Comprehensive Guide', 'description': 'EJMR Finance is a financial model that utilizes economic journal monthly returns (EJMR) to evaluate the performance of investment portfolios', 'unwound_url': 'https://trendingnewsmax.blogspot.com/2023/03/ejmr-finance-comprehensive-guide.html'}], 'annotations': [{'start': 1, 'end': 11, 'probability': 0.7061, 'type': 'Organization', 'normalized_text': 'EJMRFinance'}, {'start': 14, 'end': 25, 'probability': 0.5235, 'type': 'Other', 'normalized_text': 'Ejmr_Finance'}, {'start': 37, 'end': 40, 'probability': 0.4276, 'type': 'Other', 'normalized_text': 'EJMR'}, {'start': 119, 'end': 122, 'probability': 0.4618, 'type': 'Organization', 'normalized_text': 'EJMR'}]}  \n",
       "2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                {'hashtags': [{'start': 195, 'end': 207, 'tag': 'EconTwitter'}], 'mentions': [{'start': 0, 'end': 13, 'username': 'TrevonDLogan', 'id': '531071556'}, {'start': 14, 'end': 26, 'username': 'SandyDarity', 'id': '408036857'}], 'annotations': [{'start': 32, 'end': 35, 'probability': 0.7732, 'type': 'Other', 'normalized_text': 'EJMR'}, {'start': 179, 'end': 182, 'probability': 0.7211, 'type': 'Other', 'normalized_text': 'EJMR'}, {'start': 196, 'end': 206, 'probability': 0.7689, 'type': 'Other', 'normalized_text': 'EconTwitter'}]}  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_keyword = DB.fetch(table_name='keyword_tweets', path=fname_db)\n",
    "print(f\"{len(df_keyword)} keyword tweets\")\n",
    "\n",
    "df_keyword.head(n=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_keyword.to_csv(\"data/ejmr.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Collect Screen Names of Keyword Tweets\n",
    "\n",
    "The Twitter API only gives the ID of a tweet author.  To get the screen name we have to run the code below.  This code collects the screen names for a list of author IDs, then saves the screen names along with the tweets in a new database. This is a slow query, so it is advisable to instead get a smaller set of author IDs you are interested in, and then collect their screen names.\n",
    "\n",
    "The user inputs are as follows:\n",
    "\n",
    "`authorids` = list of author IDs as strings.  You can obtain the entire list from the `keyword_tweets` table, or you can input your own list manually.\n",
    "\n",
    "`fname_db` = name of database where you want to save the keyword tweets plus the screen names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "399 keyword tweets\n"
     ]
    }
   ],
   "source": [
    "fname_db = f\"data/lecture_13\"  #database filenmae\n",
    "\n",
    "#load database of keyword_tweets into dataframe\n",
    "df_keyword  = DB.fetch(table_name='keyword_tweets', path=fname_db)\n",
    "print(f\"{len(df_keyword)} keyword tweets\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "userids has 294 author ids\n"
     ]
    }
   ],
   "source": [
    "#get author IDs for keyword tweets table\n",
    "authorids = df_keyword.author_id.unique().tolist()\n",
    "print(f\"userids has {len(authorids)} author ids\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "userids has 3 author ids\n"
     ]
    }
   ],
   "source": [
    "#or create your own list of author IDs\n",
    "authorids = ['898536559057793024',\n",
    " '1441860325968465924',\n",
    " '277219310']\n",
    "\n",
    "print(f\"userids has {len(authorids)} author ids\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We are going to collect screen names for 294 users\n",
      "user 100/294\n",
      "user 200/294\n",
      "Collected screen names for 294 users\n"
     ]
    }
   ],
   "source": [
    "#for loop that looks up the screen name (called username here) for each user ID\n",
    "usernames = {}\n",
    "c=0\n",
    "print(f\"We are going to collect screen names for {len(authorids)} users\")\n",
    "for authorid in authorids:\n",
    "    username = User.id_to_username(user_id = authorid, token=0) #collect user profiles using Twitter API in a dataframe\n",
    "    usernames[authorid] = username\n",
    "    c+=1\n",
    "    if c%100 ==0:print(f\"user {c}/{len(authorids)}\")\n",
    "print(f\"Collected screen names for {c} users\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'241935465': 'mayelly_09',\n",
       " '3329305187': 'hogimus96',\n",
       " '1586156846200619012': 'UltraMagaGemma',\n",
       " '880867305797935104': 'BaftyC',\n",
       " '1511864806608973825': 'Christo21854255',\n",
       " '1227987223418671104': 'stormlecat',\n",
       " '3245489649': 'juliefig45',\n",
       " '1426283746337206275': 'BillyBaroo412',\n",
       " '2303867828': 'GreggLRivera',\n",
       " '1560502044': 'FrankRizzoNY',\n",
       " '1285568463616999426': 'FrightSandra',\n",
       " '1484469216178810883': 'ChrisEd16512812',\n",
       " '1481420306791215105': 'AlvarezInt',\n",
       " '896067536713912320': 'SusanHe32229602',\n",
       " '1033169786874814465': 'DSlayer520',\n",
       " '1150776185300930561': 'elprezedente1',\n",
       " '1591505173746262035': 'TonyLewis1953',\n",
       " '1582509182904836100': 'DebXan',\n",
       " '1589476178301108225': 'be3_flower',\n",
       " '954483158883299328': 'THEKATlNATOR',\n",
       " '1516699454568603649': '0_neo3',\n",
       " '1584497057599037442': 'IwillFactCheck_',\n",
       " '1489810863548731392': 'nononneinnyet',\n",
       " '1632530999505739777': 'juan_follansbee',\n",
       " '1520551016109903872': 'kalypso1066',\n",
       " '1329582751389941760': 'Fixitguy8',\n",
       " '207160117': 'mh379',\n",
       " '4289931022': 'Kingjamygreen',\n",
       " '3227546227': 'petwelfare411',\n",
       " '1609578269338206209': 'Freedomlike76',\n",
       " '1366995883796013056': 'NoBody60300755',\n",
       " '1700112116': 'VolumePrintcess',\n",
       " '1631298988258258945': 'ANUBUS_RA6',\n",
       " '1465348555317526530': 'Deadpoo89242249',\n",
       " '1608975075012907010': 'Harrythreestage',\n",
       " '43974801': 'stephaniebynum',\n",
       " '1600480040332017667': 'kofi_o5',\n",
       " '1394349330497212427': 'Jerry43879137',\n",
       " '1393829880165552131': 'BehindE53388991',\n",
       " '164626939': 'racytracy66',\n",
       " '727487510': 'LastStand2019',\n",
       " '1341158364886261762': '0xHammond',\n",
       " '1572062028650655744': 'envoluted',\n",
       " '281491446': 'antlopdeuy',\n",
       " '1464910704306114570': 'joel_cardwell',\n",
       " '1518671354534539268': 'ModernPilgram',\n",
       " '1479475858121261058': 'Deantree1',\n",
       " '1445437990940004352': 'BabyGir35231932',\n",
       " '1581976853241380864': 'LightOne1776',\n",
       " '1380156680789499904': 'PirateHodl',\n",
       " '1528539032342257664': 'Rushesmom',\n",
       " '98006937': 'weezmgk',\n",
       " '1290196204836593664': 'oliviakingia',\n",
       " '2208079051': 'littlemykonos',\n",
       " '806109731815301121': 'john_longlade',\n",
       " '45791537': 'Pianokit',\n",
       " '1585613942977708035': 'SoCarTider',\n",
       " '1445194859976011780': 'cathypro2',\n",
       " '1590574851395551233': 'ShawnSchildt',\n",
       " '1019525172431409152': 'Didtheearthmov1',\n",
       " '1603949466440146945': 'Spencer081493',\n",
       " '1593388916152979461': 'Emma57212',\n",
       " '1536006207844007937': 'Mybookself81',\n",
       " '412659906': 'bertybets21',\n",
       " '2828807092': 'ReachRuthanne',\n",
       " '3306172029': '_dsharpmusic',\n",
       " '1400070369264951297': 'Joni31871510',\n",
       " '1520421155747733505': 'natalie_gilless',\n",
       " '1594824313030549513': 'Robertpoplerblu',\n",
       " '1252570133027000320': 'bavi991',\n",
       " '1615027598504886286': 'WesFromSpace',\n",
       " '2345452550': 'FailCodeGames',\n",
       " '1632421728428371972': 'MalcomGee',\n",
       " '1601635018517848064': 'NoticerChance',\n",
       " '43865165': 'PerriAir',\n",
       " '2800554300': 'TyronePenning',\n",
       " '1249527191743815681': 'DeeBee32545430',\n",
       " '1578613090903629825': 'UndercoverNurd',\n",
       " '719268418629677056': 'TravisBoling6',\n",
       " '2956695505': 'yxngboy_polo',\n",
       " '191871143': 'VigilantFox',\n",
       " '1417920933923282949': 'Debannet1',\n",
       " '1511018330257338374': 'Denajac26405333',\n",
       " '720373269803589632': 'LennyDykstra',\n",
       " '1582347881415335937': 'JohnHenryHoyle1',\n",
       " '1422113855577026560': 'AbramianAlison',\n",
       " '1872245252': 'GillGripper',\n",
       " '1488215573116956683': 'fjb3rdLgb',\n",
       " '1472628385784467461': 'RobertB34222174',\n",
       " '1303018594821865472': 'Enix_Moon_',\n",
       " '1569892915706753025': 'dragonsrevenge8',\n",
       " '1569469885045940225': 'JMPhelpsLC',\n",
       " '877576619375939586': 'pinkmoondust1',\n",
       " '1519524314458034176': 'ParkerAlan85',\n",
       " '483598442': 'TriciaHartley',\n",
       " '2423655841': 'Arianna72113',\n",
       " '1605976051381067778': 'exposethemall09',\n",
       " '1519002273019400192': 'LForsythe18',\n",
       " '1601721643507879939': 'DustinWasham',\n",
       " '1492031511251456002': 'BLMMF1',\n",
       " '1581104071955517440': 'cu___later',\n",
       " '1491556420919205889': 'mac_massie2',\n",
       " '747443535889108992': 'macfall_p',\n",
       " '1535747012917964801': 'Va1nMona',\n",
       " '49717523': 'CathymEdgar',\n",
       " '1342326982424612864': 'MLittorous',\n",
       " '1285964993138171904': 'Cmk16530813',\n",
       " '173597964': 'SIOUXIEWOO',\n",
       " '1494479021899657216': 'Jamesnotabot',\n",
       " '1481955792559525891': 'Les52y',\n",
       " '1358039228077273089': 'JasonSp54334621',\n",
       " '97733708': 'go39_gramps',\n",
       " '1521007263519055878': 'silvia75778',\n",
       " '831605451141836800': 'VidaAmerica',\n",
       " '1492885616937242628': 'EnglishRedBird',\n",
       " '1597358617346428932': 'trashman7199',\n",
       " '1453033769544339461': 'starkicus',\n",
       " '1284225114675052544': 'lope717',\n",
       " '1586461733191057408': 'DemoncratsREviI',\n",
       " '1598782286123700266': 'David34210856',\n",
       " '1589931331794137089': 'GracenMagz',\n",
       " '1389433804440363010': 'Tiger96619072',\n",
       " '1229077563387109377': 'SheepDogLegend',\n",
       " '50642545': 'P_Bellenge',\n",
       " '386683743': 'DrRobPomahac',\n",
       " '1530979343878561793': 'KnightErrant89',\n",
       " '1246628360119136256': 'epochtimestoday',\n",
       " '1436421042403221528': 'james_costabile',\n",
       " '1140947280788217861': 'kenoconnor18',\n",
       " '1054433080554016769': 'Grillon741',\n",
       " '1184898513118744576': 'kschraeder123',\n",
       " '1444481750546018312': 'Truthseeker2710',\n",
       " '1624294722125852673': 'LoveHighGod',\n",
       " '1489241890994237442': 'EntArchDude',\n",
       " '1550467386762964999': 'teflondonned',\n",
       " '1557902502221185024': 'EtterAlly',\n",
       " '1219606670785105920': 'Jsnluvnh8',\n",
       " '1587263438631337986': 'metznev',\n",
       " '1511450789205708805': 'flavorchaser530',\n",
       " '1017080223257505792': 'GlobalC71686911',\n",
       " '153967740': 'dk715',\n",
       " '1601017447749980160': 'OFH321',\n",
       " '1292563337394307072': 'Wildkrazyblond1',\n",
       " '913995566': 'katlopez66',\n",
       " '1294149069913325571': 'CRIIM50N',\n",
       " '1596810179424800770': 'PamelaMelanco15',\n",
       " '1629152486': 'WASoutlooks',\n",
       " '123366783': 'Adrianpalomeque',\n",
       " '1631682263569281024': 'MikeGardener7',\n",
       " '1007838595': 'guffynicola',\n",
       " '829001915853713408': 'PaulaHu17433057',\n",
       " '852866223142580226': 'Ronmain3',\n",
       " '117473710': 'G_in_NYC_',\n",
       " '931853894405193728': 'FadiNAMF',\n",
       " '1251950776047599617': 'RabidLlamas',\n",
       " '1451949346908409867': 'MafiaFurry',\n",
       " '1603799375142166528': 'Labmuttz4',\n",
       " '772844773518434304': 'hockeyseasntime',\n",
       " '1427522565883371521': 'saoirseleannan',\n",
       " '88465727': 'deepities',\n",
       " '899334309026209792': 'Global_Reachout',\n",
       " '816137839': 'roblyonsjr',\n",
       " '1554370086139564032': 'VictorF88381726',\n",
       " '1420919062285201408': 'findgg33',\n",
       " '1588856002207776769': 'EdFreedom4',\n",
       " '1208747852576567305': 'djchuytwox',\n",
       " '1430386214453010434': 'hoothathuh',\n",
       " '1383864377770594315': 'torrigarnet10',\n",
       " '1275238553266487296': '1956_rebecca',\n",
       " '1300441755217690627': 'Matthew62624110',\n",
       " '1598704988590686208': 'jonf98661327',\n",
       " '1560199974863994881': 'Billymakessense',\n",
       " '1672373880': 'vonnaleigh86',\n",
       " '149444359': 'YeohCC',\n",
       " '1561333634593964033': 'LogicalEdward',\n",
       " '1596222472495501324': 'HawkeyeRoad',\n",
       " '1295414538838237184': 'cliffdadd',\n",
       " '754343022591115264': 'PhilipRidgill',\n",
       " '3297502354': 'Ozzyman314',\n",
       " '1587032042453229570': 'ColTaphouse',\n",
       " '823717511862620160': 'MTnutz',\n",
       " '1495514832216285184': 'theyareus2',\n",
       " '1580227503901245441': 'RHP_BzzdBear',\n",
       " '1544900338142298113': 'mrblairjfinch',\n",
       " '36890364': 'WakeAwake1',\n",
       " '1599084249667313664': 'boston2g4',\n",
       " '1389361222479486984': 'VaccineCicada',\n",
       " '2239249417': 'slimberryeze',\n",
       " '109457265': 'AGilman27',\n",
       " '1574144091004309506': 'Charles32615710',\n",
       " '623953748': 'Jigsaw_Jones',\n",
       " '15982541': 'CoryArmbrecht',\n",
       " '25875893': 'allendh',\n",
       " '329274270': 'DanCooper5',\n",
       " '1321829094775005187': 'DStanghini',\n",
       " '919023187559636992': 'ZachariaKing28',\n",
       " '1619026096296529925': 'OneTwoManyLies',\n",
       " '1521324176862109696': 'The_Crack_Emcee',\n",
       " '1231755513731280902': 'DrKW12',\n",
       " '1077986802': 'RetardAurelius',\n",
       " '1606654365527425024': 'dadsf250',\n",
       " '1503873077142249476': 'scribblejibble',\n",
       " '1516911251816914944': 'deadwebdev',\n",
       " '3581784381': 'Blue22Dave',\n",
       " '183837536': 'kj_mcarthy',\n",
       " '1477342330843803649': 'RobillardJan',\n",
       " '2528004834': 'DavidCritz',\n",
       " '980098682': 'SueIeraci',\n",
       " '1519819807704555520': 'KittyJKitty',\n",
       " '799241745837887488': 'awesomefighterr',\n",
       " '1455484909376655363': 'DeanBoylan4',\n",
       " '1428490735964229632': 'nogymallowed',\n",
       " '1554670566652620801': 'CovidianCritic',\n",
       " '986001211': 'ProteususMahon',\n",
       " '1617271706992930816': 'JoDee01012003',\n",
       " '1603924034021822464': 'MicheleCoble7',\n",
       " '612931307': 'ADevotedYogi',\n",
       " '1476560404666982400': 'RogerSpaven',\n",
       " '1366759176484093952': 'club_gut',\n",
       " '1593783066056597504': 'HenryStautzenb1',\n",
       " '1146797807258521600': 'ScottKnowlton13',\n",
       " '1379536522077208580': 'TomOne83425265',\n",
       " '399164986': 'mwest410',\n",
       " '1482103501211770881': 'dryamontillado',\n",
       " '43476278': 'healingspaces',\n",
       " '495608180': 'JasonTheTodds',\n",
       " '1407679765860040704': 'Danbyrigs',\n",
       " '281227216': 'KimPigSquash',\n",
       " '907792089303470085': 'Qasimal40962103',\n",
       " '1474516889153851397': 'MihuSchaeffer',\n",
       " '20393147': 'catlyn777',\n",
       " '123615608': 'UKinSFO',\n",
       " '1241405752234786820': 'sheswuzere',\n",
       " '200105962': 'JETHOMASCUOUS',\n",
       " '1631308988426989570': 'tjk_architect',\n",
       " '4274240955': 'MoronMeta',\n",
       " '1591824076380798981': 'SloaneCox4',\n",
       " '1558821962620850176': 'GuyPers71853683',\n",
       " '1511014021125730306': 'DanetteMShannon',\n",
       " '1373015974920736770': 'Top_Muppetries',\n",
       " '1613751614275293185': 'Kathlee16363451',\n",
       " '754394529558589440': '108Maia108',\n",
       " '749122766': 'CharloteBlanton',\n",
       " '55925281': 'boy_le',\n",
       " '414969147': 'M1PowerSports',\n",
       " '891461818761134082': 'bgblueeyes',\n",
       " '1259657593863065600': 'Raven_Attylan',\n",
       " '1582089293987708936': 'Debbemequeen',\n",
       " '517779385': 'funkutron',\n",
       " '1627820743043203072': 'Solutionary101',\n",
       " '1501389242567561216': 'dystopian_DU',\n",
       " '778551667092488196': 'SnookerJudge',\n",
       " '1598111509971968001': 'Pamela_Chic_1',\n",
       " '1451994074467246086': 'freedomNOW85',\n",
       " '1600373853985083393': 'AlienNewWorld',\n",
       " '1598224386825256960': 'Torsi28498067',\n",
       " '1498765330436411393': 'Carolin52627016',\n",
       " '1392730246517035013': 'sebas__gaona',\n",
       " '1082446643390103552': 'Chantel_Bx0',\n",
       " '1538396215674834944': 'unmasking_media',\n",
       " '1595135850479861762': 'Cindy_fromtx',\n",
       " '148524877': 'NOfTheBorder',\n",
       " '1520834561172770816': 'MansCollner',\n",
       " '9671792': 'oley',\n",
       " '1519077978109399040': 'karlmclean8',\n",
       " '1575238492942225408': 'DeplorableCana4',\n",
       " '163047586': 'FXNL',\n",
       " '1351685979258683398': 'WiredApe',\n",
       " '58761732': 'Psycobunny',\n",
       " '2360197710': 'prescribal',\n",
       " '837650545': 'EricOchotnicki',\n",
       " '719573184769626112': 'celticgoddess51',\n",
       " '1579926625902288906': 'JoshuaHilyard7',\n",
       " '782947218022031361': 'Tadayos02451463',\n",
       " '778073270373404672': 'BeastofOrem',\n",
       " '1597969149208281088': 'Aperilla33',\n",
       " '1488865294487597061': 'Russellhd1972',\n",
       " '1586730741005680640': 'julius_vincze',\n",
       " '241763922': 'novilla_nikko',\n",
       " '785604783352778752': 'krisreed111482',\n",
       " '1574239893399556096': 'DianellaNunes',\n",
       " '532438266': 'JanFrye',\n",
       " '1443044033715183616': 'OB13110',\n",
       " '2739120230': 'computerbiscuit',\n",
       " '1536185303983132673': 'JohnWiltwyck',\n",
       " '1601056104259194880': 'CaitlinKiaraC',\n",
       " '23921732': 'FoxNewsMom',\n",
       " '998749212673216512': 'Luminousthght',\n",
       " '2326488624': 'mensallobos',\n",
       " '1570239853379440640': 'iredia_bright',\n",
       " '1616186031560179712': 'AngelRoark13',\n",
       " '1100193591979167745': 'epicthundercat',\n",
       " '506906459': 'juliewrightcpa',\n",
       " '1461830107312672773': 'Wallace34196736'}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#look at the screen names\n",
    "usernames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#add screen_name column to dataframe/database\n",
    "\n",
    "col = []\n",
    "for author_id in df_keyword.author_id:\n",
    "    if author_id in usernames:\n",
    "        col.append(usernames[author_id])\n",
    "    else:\n",
    "        col.append(np.NaN)\n",
    "        \n",
    "df_keyword['screen_name'] = col\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>screen_name</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mayelly_09</td>\n",
       "      <td>@HilkerCharles27 We All Stand against the vaccine \\n\\nhttps://t.co/DJ6O20sE5H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>hogimus96</td>\n",
       "      <td>@Holtmoney51 @ChampionsMovie Yet here I am. Alive and well. And without a mystery juice flowing in my body. Ever wonder why Pfizer wasn’t allowed to distribute the “vaccine” in India?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mayelly_09</td>\n",
       "      <td>@AlessioBruni007 We All Stand against the vaccine \\n\\nhttps://t.co/DJ6O20sE5H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>UltraMagaGemma</td>\n",
       "      <td>@TheRealWadeWil1 I was not supportive of his Warp Speed for this vaccine and certainly not supportive of his allowing Fraudchi to have so much say. He definitely lost points with me on those two but he is still the better man for the job over all.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BaftyC</td>\n",
       "      <td>@pedwards_phil @Otto_English Agreed, they hold information back until it has a purpose e.g. a dip in vaccine uptake. If all info was released at once nobody would continue to get the necessary vaccines / boosters.\\n\\nIt's manipulation but necessary but the gen public are morons to be honest.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      screen_name  \\\n",
       "0      mayelly_09   \n",
       "1       hogimus96   \n",
       "2      mayelly_09   \n",
       "3  UltraMagaGemma   \n",
       "4          BaftyC   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                   text  \n",
       "0                                                                                                                                                                                                                         @HilkerCharles27 We All Stand against the vaccine \\n\\nhttps://t.co/DJ6O20sE5H  \n",
       "1                                                                                                               @Holtmoney51 @ChampionsMovie Yet here I am. Alive and well. And without a mystery juice flowing in my body. Ever wonder why Pfizer wasn’t allowed to distribute the “vaccine” in India?  \n",
       "2                                                                                                                                                                                                                         @AlessioBruni007 We All Stand against the vaccine \\n\\nhttps://t.co/DJ6O20sE5H  \n",
       "3                                               @TheRealWadeWil1 I was not supportive of his Warp Speed for this vaccine and certainly not supportive of his allowing Fraudchi to have so much say. He definitely lost points with me on those two but he is still the better man for the job over all.  \n",
       "4  @pedwards_phil @Otto_English Agreed, they hold information back until it has a purpose e.g. a dip in vaccine uptake. If all info was released at once nobody would continue to get the necessary vaccines / boosters.\\n\\nIt's manipulation but necessary but the gen public are morons to be honest.  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_keyword[['screen_name','text']].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Update `\"keyword_tweets\"` Table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-03-05 20:34:44.522] [INFO] [api:delete:26] Deleting table keyword_tweets\n",
      "[2023-03-05 20:34:44.548] [INFO] [api:write:61] Writing 399 rows to table keyword_tweets\n"
     ]
    }
   ],
   "source": [
    "#delete old table\n",
    "DB.delete(table_name='keyword_tweets', path=fname_db)  \n",
    "\n",
    "#save dataframe with screen names to table\n",
    "DB.write(table_name='keyword_tweets', path=fname_db, data=df_keyword)  #Save profiles to database\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check `\"keyword_tweets\"` Table \n",
    "\n",
    "We will load the keyword tweet table into a dataframe and look at the rows that have screen names."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "399 keyword tweets\n",
      "Tweets with screen names\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>screen_name</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mayelly_09</td>\n",
       "      <td>@HilkerCharles27 We All Stand against the vaccine \\n\\nhttps://t.co/DJ6O20sE5H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>hogimus96</td>\n",
       "      <td>@Holtmoney51 @ChampionsMovie Yet here I am. Alive and well. And without a mystery juice flowing in my body. Ever wonder why Pfizer wasn’t allowed to distribute the “vaccine” in India?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mayelly_09</td>\n",
       "      <td>@AlessioBruni007 We All Stand against the vaccine \\n\\nhttps://t.co/DJ6O20sE5H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>UltraMagaGemma</td>\n",
       "      <td>@TheRealWadeWil1 I was not supportive of his Warp Speed for this vaccine and certainly not supportive of his allowing Fraudchi to have so much say. He definitely lost points with me on those two but he is still the better man for the job over all.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BaftyC</td>\n",
       "      <td>@pedwards_phil @Otto_English Agreed, they hold information back until it has a purpose e.g. a dip in vaccine uptake. If all info was released at once nobody would continue to get the necessary vaccines / boosters.\\n\\nIt's manipulation but necessary but the gen public are morons to be honest.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      screen_name  \\\n",
       "0      mayelly_09   \n",
       "1       hogimus96   \n",
       "2      mayelly_09   \n",
       "3  UltraMagaGemma   \n",
       "4          BaftyC   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                   text  \n",
       "0                                                                                                                                                                                                                         @HilkerCharles27 We All Stand against the vaccine \\n\\nhttps://t.co/DJ6O20sE5H  \n",
       "1                                                                                                               @Holtmoney51 @ChampionsMovie Yet here I am. Alive and well. And without a mystery juice flowing in my body. Ever wonder why Pfizer wasn’t allowed to distribute the “vaccine” in India?  \n",
       "2                                                                                                                                                                                                                         @AlessioBruni007 We All Stand against the vaccine \\n\\nhttps://t.co/DJ6O20sE5H  \n",
       "3                                               @TheRealWadeWil1 I was not supportive of his Warp Speed for this vaccine and certainly not supportive of his allowing Fraudchi to have so much say. He definitely lost points with me on those two but he is still the better man for the job over all.  \n",
       "4  @pedwards_phil @Otto_English Agreed, they hold information back until it has a purpose e.g. a dip in vaccine uptake. If all info was released at once nobody would continue to get the necessary vaccines / boosters.\\n\\nIt's manipulation but necessary but the gen public are morons to be honest.  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_keyword = DB.fetch(table_name='keyword_tweets', path=fname_db)\n",
    "print(f\"{len(df_keyword)} keyword tweets\")\n",
    "\n",
    "print(f\"Tweets with screen names\")\n",
    "df_keyword.loc[df_keyword.screen_name.isna()==False,['screen_name','text']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>created_at</th>\n",
       "      <th>screen_name</th>\n",
       "      <th>text</th>\n",
       "      <th>lang</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>reply_count</th>\n",
       "      <th>like_count</th>\n",
       "      <th>quote_count</th>\n",
       "      <th>impression_count</th>\n",
       "      <th>id</th>\n",
       "      <th>author_id</th>\n",
       "      <th>conversation_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>geo</th>\n",
       "      <th>entities</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>2023-03-05T23:43:49.000Z</td>\n",
       "      <td>dystopian_DU</td>\n",
       "      <td>@goodfoodgal I don’t know but did you see the Russian inventor of the Sputnik Covid vaccine was strangled to death in his apartment just recently? Weird. \\n\\nhttps://t.co/GmGAada5h3</td>\n",
       "      <td>en</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>547</td>\n",
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       "      <td>1632517745190518785</td>\n",
       "      <td>3000964616</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'urls': [{'start': 156, 'end': 179, 'url': 'https://t.co/GmGAada5h3', 'expanded_url': 'https://www.couriermail.com.au/news/creator-of-russias-sputnik-covid-vaccine-strangled-to-death-in-latest-mystery-murder/news-story/66c1d9549024e7c87959f946524c96ad', 'display_url': 'couriermail.com.au/news/creator-o…', 'images': [{'url': 'https://pbs.twimg.com/news_img/1632527367330725889/K9UjfS8j?format=jpg&amp;name=orig', 'width': 1280, 'height': 719}, {'url': 'https://pbs.twimg.com/news_img/1632527367330725889/K9UjfS8j?format=jpg&amp;name=150x150', 'width': 150, 'height': 150}], 'status': 200, 'title': 'Covid vax maker ‘strangled with belt’', 'description': 'One of the creators of Russia’s Covid vaccine has been found brutally strangled to death in his Moscow apartment, in the latest mystery murder surrounding the country’s elite.', 'unwound_url': 'https://www.couriermail.com.au/news/creator-of-russias-sputnik-covid-vaccine-strangled-to-death-in-latest-mystery-murder/news-story/66c1d9549024e7c87959f946524c96ad'}], 'annotations': [{'start': 70, 'end': 76, 'probability': 0.8648, 'type': 'Other', 'normalized_text': 'Sputnik'}, {'start': 78, 'end': 90, 'probability': 0.7566, 'type': 'Other', 'normalized_text': 'Covid vaccine'}], 'mentions': [{'start': 0, 'end': 12, 'username': 'goodfoodgal', 'id': '3000964616'}]}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>2023-03-05T23:49:24.000Z</td>\n",
       "      <td>1956_rebecca</td>\n",
       "      <td>@LauraLoomer Thank God I learned the truth about the Covid vaccine before it was available to me!!</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1632528771814404096</td>\n",
       "      <td>1275238553266487296</td>\n",
       "      <td>1632501299999588357</td>\n",
       "      <td>537709549</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'mentions': [{'start': 0, 'end': 12, 'username': 'LauraLoomer', 'id': '537709549'}]}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2023-03-05T23:57:43.000Z</td>\n",
       "      <td>mayelly_09</td>\n",
       "      <td>@Catheri43520143 We All Stand against the vaccine \\n\\nhttps://t.co/DJ6O20sE5H</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1632530863006130177</td>\n",
       "      <td>241935465</td>\n",
       "      <td>1632478359270617088</td>\n",
       "      <td>1595605569926201344</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'mentions': [{'start': 0, 'end': 16, 'username': 'Catheri43520143', 'id': '1595605569926201344'}], 'urls': [{'start': 52, 'end': 75, 'url': 'https://t.co/DJ6O20sE5H', 'expanded_url': 'http://bit.ly/3mjHKp3', 'display_url': 'bit.ly/3mjHKp3', 'images': [{'url': 'https://pbs.twimg.com/news_img/1632178010643128321/jnVsC0wL?format=jpg&amp;name=orig', 'width': 320, 'height': 320}, {'url': 'https://pbs.twimg.com/news_img/1632178010643128321/jnVsC0wL?format=jpg&amp;name=150x150', 'width': 150, 'height': 150}], 'status': 200, 'title': 'VACCINE FREEDOM FIGHTERS', 'description': 'Unvaccinated Freedom fighters community ; This group is for the vaxxed and unvaxed that are fighting and standing for FREEDOM WORLDWIDE 🌍', 'unwound_url': 'https://t.me/+g_EaqDYbHI5kMmZk'}]}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2023-03-05T23:57:05.000Z</td>\n",
       "      <td>john_longlade</td>\n",
       "      <td>@BotHatesTheTurd @elonmusk Now do serious vaccine injuries/deaths, data manipulation. That drama teacher is much more evil &amp;amp; cold hearted. Divided and killed.</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>1632530705358938118</td>\n",
       "      <td>806109731815301121</td>\n",
       "      <td>1632240309546500097</td>\n",
       "      <td>1174798848100880391</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'mentions': [{'start': 0, 'end': 16, 'username': 'BotHatesTheTurd', 'id': '1174798848100880391'}, {'start': 17, 'end': 26, 'username': 'elonmusk', 'id': '44196397'}]}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>2023-03-05T23:55:18.000Z</td>\n",
       "      <td>UndercoverNurd</td>\n",
       "      <td>@Photero @ksorbs Do YOU realize that the vaccine doesn't actually protect you from contractingthe disease? Truth beats science.</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1632530253762494464</td>\n",
       "      <td>1578613090903629825</td>\n",
       "      <td>1632452757834674177</td>\n",
       "      <td>19997829</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'mentions': [{'start': 0, 'end': 8, 'username': 'Photero', 'id': '19997829'}, {'start': 9, 'end': 16, 'username': 'ksorbs', 'id': '33608041'}], 'annotations': [{'start': 98, 'end': 104, 'probability': 0.6217, 'type': 'Other', 'normalized_text': 'disease'}]}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-03-05T23:59:52.000Z</td>\n",
       "      <td>UltraMagaGemma</td>\n",
       "      <td>@TheRealWadeWil1 I was not supportive of his Warp Speed for this vaccine and certainly not supportive of his allowing Fraudchi to have so much say. He definitely lost points with me on those two but he is still the better man for the job over all.</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1632531406029979648</td>\n",
       "      <td>1586156846200619012</td>\n",
       "      <td>1632206296119140354</td>\n",
       "      <td>1428106430272483329</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'mentions': [{'start': 0, 'end': 16, 'username': 'TheRealWadeWil1', 'id': '1428106430272483329'}], 'annotations': [{'start': 45, 'end': 54, 'probability': 0.6446, 'type': 'Other', 'normalized_text': 'Warp Speed'}, {'start': 118, 'end': 125, 'probability': 0.6584, 'type': 'Person', 'normalized_text': 'Fraudchi'}]}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>2023-03-05T23:44:21.000Z</td>\n",
       "      <td>oliviakingia</td>\n",
       "      <td>@SaraGonzalesTX @P_McCulloughMD Biden continues his unscientific c19 vaccine mandates to legally visit or emigrate the USA.\\nAmerica is woefully behind the rest of the world with this backwards, nonsensical policy.\\n\\nEntry:\\nHealthy but unvaxxed 🚫\\nCovid positive but vaxxed ✅\\n\\nHow Embarrassing for the US\\n\\n#HR185</td>\n",
       "      <td>en</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>1632527500063526912</td>\n",
       "      <td>1290196204836593664</td>\n",
       "      <td>1632527355385110528</td>\n",
       "      <td>375852740</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'hashtags': [{'start': 303, 'end': 309, 'tag': 'HR185'}], 'annotations': [{'start': 32, 'end': 36, 'probability': 0.9483, 'type': 'Person', 'normalized_text': 'Biden'}, {'start': 119, 'end': 121, 'probability': 0.9837, 'type': 'Place', 'normalized_text': 'USA'}, {'start': 124, 'end': 130, 'probability': 0.917, 'type': 'Place', 'normalized_text': 'America'}, {'start': 245, 'end': 249, 'probability': 0.8929, 'type': 'Other', 'normalized_text': 'Covid'}, {'start': 299, 'end': 300, 'probability': 0.9666, 'type': 'Place', 'normalized_text': 'US'}], 'mentions': [{'start': 0, 'end': 15, 'username': 'SaraGonzalesTX', 'id': '375852740'}, {'start': 16, 'end': 31, 'username': 'P_McCulloughMD', 'id': '1465347964252180493'}]}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2023-03-05T23:55:43.000Z</td>\n",
       "      <td>NoticerChance</td>\n",
       "      <td>MUH LIFE SAVING VACCINE\\n\\nMake sure to get that latest BOOOOOOOOOOOOOOSHTER!!! https://t.co/va4YMMgY6o https://t.co/mBItuxDHrQ https://t.co/ASUFGpHh5I</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>71</td>\n",
       "      <td>1632530359551401984</td>\n",
       "      <td>1601635018517848064</td>\n",
       "      <td>1632530359551401984</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'urls': [{'start': 78, 'end': 101, 'url': 'https://t.co/va4YMMgY6o', 'expanded_url': 'https://twitter.com/i/web/status/1632530359551401984', 'display_url': 'twitter.com/i/web/status/1…'}, {'start': 102, 'end': 125, 'url': 'https://t.co/mBItuxDHrQ', 'expanded_url': 'https://twitter.com/NoticerChance/status/1632530359551401984/video/1', 'display_url': 'pic.twitter.com/mBItuxDHrQ', 'media_key': '7_1632530243717332992'}, {'start': 126, 'end': 149, 'url': 'https://t.co/ASUFGpHh5I', 'expanded_url': 'https://twitter.com/PinkTransbian/status/1632478525977509888', 'display_url': 'twitter.com/PinkTransbian/…'}]}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2023-03-05T23:54:13.000Z</td>\n",
       "      <td>exposethemall09</td>\n",
       "      <td>@PierrePoilievre What about your wife being connected to the vaccine brought to make the masses sick Pierre let’s talk about that.</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1632529981632020480</td>\n",
       "      <td>1605976051381067778</td>\n",
       "      <td>1632163261100744704</td>\n",
       "      <td>242827267</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'mentions': [{'start': 0, 'end': 16, 'username': 'PierrePoilievre', 'id': '242827267'}]}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2023-03-05T23:59:30.000Z</td>\n",
       "      <td>FrightSandra</td>\n",
       "      <td>@goddeketal 99.5% recovery rate for my age group without a vaccine!</td>\n",
       "      <td>en</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1632531311138095105</td>\n",
       "      <td>1285568463616999426</td>\n",
       "      <td>1632441091772538880</td>\n",
       "      <td>1224185690713460736</td>\n",
       "      <td>nan</td>\n",
       "      <td>{'mentions': [{'start': 0, 'end': 11, 'username': 'goddeketal', 'id': '1224185690713460736'}]}</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   created_at      screen_name  \\\n",
       "345  2023-03-05T23:43:49.000Z     dystopian_DU   \n",
       "252  2023-03-05T23:49:24.000Z     1956_rebecca   \n",
       "73   2023-03-05T23:57:43.000Z       mayelly_09   \n",
       "88   2023-03-05T23:57:05.000Z    john_longlade   \n",
       "134  2023-03-05T23:55:18.000Z   UndercoverNurd   \n",
       "3    2023-03-05T23:59:52.000Z   UltraMagaGemma   \n",
       "329  2023-03-05T23:44:21.000Z     oliviakingia   \n",
       "126  2023-03-05T23:55:43.000Z    NoticerChance   \n",
       "166  2023-03-05T23:54:13.000Z  exposethemall09   \n",
       "17   2023-03-05T23:59:30.000Z     FrightSandra   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                               text  \\\n",
       "345                                                                                                                                           @goodfoodgal I don’t know but did you see the Russian inventor of the Sputnik Covid vaccine was strangled to death in his apartment just recently? Weird. \\n\\nhttps://t.co/GmGAada5h3   \n",
       "252                                                                                                                                                                                                                              @LauraLoomer Thank God I learned the truth about the Covid vaccine before it was available to me!!   \n",
       "73                                                                                                                                                                                                                                                    @Catheri43520143 We All Stand against the vaccine \\n\\nhttps://t.co/DJ6O20sE5H   \n",
       "88                                                                                                                                                               @BotHatesTheTurd @elonmusk Now do serious vaccine injuries/deaths, data manipulation. That drama teacher is much more evil &amp; cold hearted. Divided and killed.   \n",
       "134                                                                                                                                                                                                 @Photero @ksorbs Do YOU realize that the vaccine doesn't actually protect you from contractingthe disease? Truth beats science.   \n",
       "3                                                                           @TheRealWadeWil1 I was not supportive of his Warp Speed for this vaccine and certainly not supportive of his allowing Fraudchi to have so much say. He definitely lost points with me on those two but he is still the better man for the job over all.   \n",
       "329  @SaraGonzalesTX @P_McCulloughMD Biden continues his unscientific c19 vaccine mandates to legally visit or emigrate the USA.\\nAmerica is woefully behind the rest of the world with this backwards, nonsensical policy.\\n\\nEntry:\\nHealthy but unvaxxed 🚫\\nCovid positive but vaxxed ✅\\n\\nHow Embarrassing for the US\\n\\n#HR185   \n",
       "126                                                                                                                                                                         MUH LIFE SAVING VACCINE\\n\\nMake sure to get that latest BOOOOOOOOOOOOOOSHTER!!! https://t.co/va4YMMgY6o https://t.co/mBItuxDHrQ https://t.co/ASUFGpHh5I   \n",
       "166                                                                                                                                                                                              @PierrePoilievre What about your wife being connected to the vaccine brought to make the masses sick Pierre let’s talk about that.   \n",
       "17                                                                                                                                                                                                                                                              @goddeketal 99.5% recovery rate for my age group without a vaccine!   \n",
       "\n",
       "    lang  retweet_count  reply_count  like_count  quote_count  \\\n",
       "345   en              7            4          23            0   \n",
       "252   en              0            0           0            0   \n",
       "73    en              0            0           0            0   \n",
       "88    en              0            1           0            0   \n",
       "134   en              0            0           0            0   \n",
       "3     en              0            0           1            0   \n",
       "329   en              1            0           2            0   \n",
       "126   en              0            0           0            0   \n",
       "166   en              0            0           0            0   \n",
       "17    en              0            0           0            0   \n",
       "\n",
       "     impression_count                   id            author_id  \\\n",
       "345               547  1632527366831624193  1501389242567561216   \n",
       "252                 6  1632528771814404096  1275238553266487296   \n",
       "73                  3  1632530863006130177            241935465   \n",
       "88                 11  1632530705358938118   806109731815301121   \n",
       "134                 3  1632530253762494464  1578613090903629825   \n",
       "3                   3  1632531406029979648  1586156846200619012   \n",
       "329                43  1632527500063526912  1290196204836593664   \n",
       "126                71  1632530359551401984  1601635018517848064   \n",
       "166                 6  1632529981632020480  1605976051381067778   \n",
       "17                  1  1632531311138095105  1285568463616999426   \n",
       "\n",
       "         conversation_id  in_reply_to_user_id  geo  \\\n",
       "345  1632517745190518785           3000964616  nan   \n",
       "252  1632501299999588357            537709549  nan   \n",
       "73   1632478359270617088  1595605569926201344  nan   \n",
       "88   1632240309546500097  1174798848100880391  nan   \n",
       "134  1632452757834674177             19997829  nan   \n",
       "3    1632206296119140354  1428106430272483329  nan   \n",
       "329  1632527355385110528            375852740  nan   \n",
       "126  1632530359551401984                  nan  nan   \n",
       "166  1632163261100744704            242827267  nan   \n",
       "17   1632441091772538880  1224185690713460736  nan   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             entities  \n",
       "345  {'urls': [{'start': 156, 'end': 179, 'url': 'https://t.co/GmGAada5h3', 'expanded_url': 'https://www.couriermail.com.au/news/creator-of-russias-sputnik-covid-vaccine-strangled-to-death-in-latest-mystery-murder/news-story/66c1d9549024e7c87959f946524c96ad', 'display_url': 'couriermail.com.au/news/creator-o…', 'images': [{'url': 'https://pbs.twimg.com/news_img/1632527367330725889/K9UjfS8j?format=jpg&name=orig', 'width': 1280, 'height': 719}, {'url': 'https://pbs.twimg.com/news_img/1632527367330725889/K9UjfS8j?format=jpg&name=150x150', 'width': 150, 'height': 150}], 'status': 200, 'title': 'Covid vax maker ‘strangled with belt’', 'description': 'One of the creators of Russia’s Covid vaccine has been found brutally strangled to death in his Moscow apartment, in the latest mystery murder surrounding the country’s elite.', 'unwound_url': 'https://www.couriermail.com.au/news/creator-of-russias-sputnik-covid-vaccine-strangled-to-death-in-latest-mystery-murder/news-story/66c1d9549024e7c87959f946524c96ad'}], 'annotations': [{'start': 70, 'end': 76, 'probability': 0.8648, 'type': 'Other', 'normalized_text': 'Sputnik'}, {'start': 78, 'end': 90, 'probability': 0.7566, 'type': 'Other', 'normalized_text': 'Covid vaccine'}], 'mentions': [{'start': 0, 'end': 12, 'username': 'goodfoodgal', 'id': '3000964616'}]}  \n",
       "252                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             {'mentions': [{'start': 0, 'end': 12, 'username': 'LauraLoomer', 'id': '537709549'}]}  \n",
       "73                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            {'mentions': [{'start': 0, 'end': 16, 'username': 'Catheri43520143', 'id': '1595605569926201344'}], 'urls': [{'start': 52, 'end': 75, 'url': 'https://t.co/DJ6O20sE5H', 'expanded_url': 'http://bit.ly/3mjHKp3', 'display_url': 'bit.ly/3mjHKp3', 'images': [{'url': 'https://pbs.twimg.com/news_img/1632178010643128321/jnVsC0wL?format=jpg&name=orig', 'width': 320, 'height': 320}, {'url': 'https://pbs.twimg.com/news_img/1632178010643128321/jnVsC0wL?format=jpg&name=150x150', 'width': 150, 'height': 150}], 'status': 200, 'title': 'VACCINE FREEDOM FIGHTERS', 'description': 'Unvaccinated Freedom fighters community ; This group is for the vaxxed and unvaxed that are fighting and standing for FREEDOM WORLDWIDE 🌍', 'unwound_url': 'https://t.me/+g_EaqDYbHI5kMmZk'}]}  \n",
       "88                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            {'mentions': [{'start': 0, 'end': 16, 'username': 'BotHatesTheTurd', 'id': '1174798848100880391'}, {'start': 17, 'end': 26, 'username': 'elonmusk', 'id': '44196397'}]}  \n",
       "134                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                {'mentions': [{'start': 0, 'end': 8, 'username': 'Photero', 'id': '19997829'}, {'start': 9, 'end': 16, 'username': 'ksorbs', 'id': '33608041'}], 'annotations': [{'start': 98, 'end': 104, 'probability': 0.6217, 'type': 'Other', 'normalized_text': 'disease'}]}  \n",
       "3                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         {'mentions': [{'start': 0, 'end': 16, 'username': 'TheRealWadeWil1', 'id': '1428106430272483329'}], 'annotations': [{'start': 45, 'end': 54, 'probability': 0.6446, 'type': 'Other', 'normalized_text': 'Warp Speed'}, {'start': 118, 'end': 125, 'probability': 0.6584, 'type': 'Person', 'normalized_text': 'Fraudchi'}]}  \n",
       "329                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               {'hashtags': [{'start': 303, 'end': 309, 'tag': 'HR185'}], 'annotations': [{'start': 32, 'end': 36, 'probability': 0.9483, 'type': 'Person', 'normalized_text': 'Biden'}, {'start': 119, 'end': 121, 'probability': 0.9837, 'type': 'Place', 'normalized_text': 'USA'}, {'start': 124, 'end': 130, 'probability': 0.917, 'type': 'Place', 'normalized_text': 'America'}, {'start': 245, 'end': 249, 'probability': 0.8929, 'type': 'Other', 'normalized_text': 'Covid'}, {'start': 299, 'end': 300, 'probability': 0.9666, 'type': 'Place', 'normalized_text': 'US'}], 'mentions': [{'start': 0, 'end': 15, 'username': 'SaraGonzalesTX', 'id': '375852740'}, {'start': 16, 'end': 31, 'username': 'P_McCulloughMD', 'id': '1465347964252180493'}]}  \n",
       "126                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                {'urls': [{'start': 78, 'end': 101, 'url': 'https://t.co/va4YMMgY6o', 'expanded_url': 'https://twitter.com/i/web/status/1632530359551401984', 'display_url': 'twitter.com/i/web/status/1…'}, {'start': 102, 'end': 125, 'url': 'https://t.co/mBItuxDHrQ', 'expanded_url': 'https://twitter.com/NoticerChance/status/1632530359551401984/video/1', 'display_url': 'pic.twitter.com/mBItuxDHrQ', 'media_key': '7_1632530243717332992'}, {'start': 126, 'end': 149, 'url': 'https://t.co/ASUFGpHh5I', 'expanded_url': 'https://twitter.com/PinkTransbian/status/1632478525977509888', 'display_url': 'twitter.com/PinkTransbian/…'}]}  \n",
       "166                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         {'mentions': [{'start': 0, 'end': 16, 'username': 'PierrePoilievre', 'id': '242827267'}]}  \n",
       "17                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     {'mentions': [{'start': 0, 'end': 11, 'username': 'goddeketal', 'id': '1224185690713460736'}]}  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_keyword.sample(n=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Collect User Profiles\n",
    "\n",
    "The code below allows you to collect Twitter profiles from specific users.  The tweets will be saved to a database with filename `fname_db` in a table called `\"users\"`.  \n",
    "\n",
    "The user inputs are as follows:\n",
    "\n",
    "1. `fname_db` = the database filename where you want to store the profiles.  Do not add the `\".db\"` suffix.\n",
    "\n",
    "3. `screen_names`  = a list of the screen name you want profiles for.  Even if you have one screen name, it must still be in a list.\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname_db = \"data/lecture_13\"\n",
    "screen_names =['Cristiano', 'BLACKPINK', 'KingJames']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-03-05 20:35:22.702] [INFO] [api:delete:26] Deleting table users\n"
     ]
    }
   ],
   "source": [
    "#If you want a fresh table, delete the existing table.  Be careful, because this will erase your data.\n",
    "#Uncomment the line below to delete the existing table.\n",
    "\n",
    "DB.delete(table_name='users', path=fname_db)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-03-05 20:35:27.060] [INFO] [api:write:61] Writing 3 rows to table users\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>created_at</th>\n",
       "      <th>name</th>\n",
       "      <th>username</th>\n",
       "      <th>description</th>\n",
       "      <th>id</th>\n",
       "      <th>location</th>\n",
       "      <th>followers_count</th>\n",
       "      <th>following_count</th>\n",
       "      <th>listed_count</th>\n",
       "      <th>tweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-06-14T19:09:20.000Z</td>\n",
       "      <td>Cristiano Ronaldo</td>\n",
       "      <td>Cristiano</td>\n",
       "      <td>This Privacy Policy addresses the collection and use of personal information - https://t.co/N9W2J34YdA</td>\n",
       "      <td>155659213</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107925993</td>\n",
       "      <td>67</td>\n",
       "      <td>85635</td>\n",
       "      <td>3886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-06-19T05:32:29.000Z</td>\n",
       "      <td>BLACKPINKOFFICIAL</td>\n",
       "      <td>BLACKPINK</td>\n",
       "      <td>BLΛƆKPIИK</td>\n",
       "      <td>1273850774380883975</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8610446</td>\n",
       "      <td>0</td>\n",
       "      <td>8100</td>\n",
       "      <td>898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2009-03-06T16:25:53.000Z</td>\n",
       "      <td>LeBron James</td>\n",
       "      <td>KingJames</td>\n",
       "      <td>EST. AKRON - ST.V/M Class of '03 https://t.co/TrZZrgR90t #IPROMISE</td>\n",
       "      <td>23083404</td>\n",
       "      <td>Amongst La Familia!</td>\n",
       "      <td>52855515</td>\n",
       "      <td>186</td>\n",
       "      <td>46337</td>\n",
       "      <td>8878</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 created_at               name   username  \\\n",
       "0  2010-06-14T19:09:20.000Z  Cristiano Ronaldo  Cristiano   \n",
       "1  2020-06-19T05:32:29.000Z  BLACKPINKOFFICIAL  BLACKPINK   \n",
       "2  2009-03-06T16:25:53.000Z       LeBron James  KingJames   \n",
       "\n",
       "                                                                                              description  \\\n",
       "0  This Privacy Policy addresses the collection and use of personal information - https://t.co/N9W2J34YdA   \n",
       "1                                                                                               BLΛƆKPIИK   \n",
       "2                                      EST. AKRON - ST.V/M Class of '03 https://t.co/TrZZrgR90t #IPROMISE   \n",
       "\n",
       "                    id             location  followers_count  following_count  \\\n",
       "0            155659213                  NaN        107925993               67   \n",
       "1  1273850774380883975                  NaN          8610446                0   \n",
       "2             23083404  Amongst La Familia!         52855515              186   \n",
       "\n",
       "   listed_count  tweet_count  \n",
       "0         85635         3886  \n",
       "1          8100          898  \n",
       "2         46337         8878  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#collect user profiles\n",
    "df_profiles = User.user_info(screen_names)  #collect user profiles using Twitter API in a dataframe\n",
    "\n",
    "#write profiles to users table\n",
    "DB.write(table_name='users', path=fname_db, data=df_profiles)  #Save profiles to database\n",
    "\n",
    "#look at head of table\n",
    "df_profiles.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check `\"users\"` Table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>created_at</th>\n",
       "      <th>name</th>\n",
       "      <th>username</th>\n",
       "      <th>description</th>\n",
       "      <th>id</th>\n",
       "      <th>location</th>\n",
       "      <th>followers_count</th>\n",
       "      <th>following_count</th>\n",
       "      <th>listed_count</th>\n",
       "      <th>tweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-06-14T19:09:20.000Z</td>\n",
       "      <td>Cristiano Ronaldo</td>\n",
       "      <td>Cristiano</td>\n",
       "      <td>This Privacy Policy addresses the collection and use of personal information - https://t.co/N9W2J34YdA</td>\n",
       "      <td>155659213</td>\n",
       "      <td>None</td>\n",
       "      <td>107925993</td>\n",
       "      <td>67</td>\n",
       "      <td>85635</td>\n",
       "      <td>3886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-06-19T05:32:29.000Z</td>\n",
       "      <td>BLACKPINKOFFICIAL</td>\n",
       "      <td>BLACKPINK</td>\n",
       "      <td>BLΛƆKPIИK</td>\n",
       "      <td>1273850774380883975</td>\n",
       "      <td>None</td>\n",
       "      <td>8610446</td>\n",
       "      <td>0</td>\n",
       "      <td>8100</td>\n",
       "      <td>898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2009-03-06T16:25:53.000Z</td>\n",
       "      <td>LeBron James</td>\n",
       "      <td>KingJames</td>\n",
       "      <td>EST. AKRON - ST.V/M Class of '03 https://t.co/TrZZrgR90t #IPROMISE</td>\n",
       "      <td>23083404</td>\n",
       "      <td>Amongst La Familia!</td>\n",
       "      <td>52855515</td>\n",
       "      <td>186</td>\n",
       "      <td>46337</td>\n",
       "      <td>8878</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 created_at               name   username  \\\n",
       "0  2010-06-14T19:09:20.000Z  Cristiano Ronaldo  Cristiano   \n",
       "1  2020-06-19T05:32:29.000Z  BLACKPINKOFFICIAL  BLACKPINK   \n",
       "2  2009-03-06T16:25:53.000Z       LeBron James  KingJames   \n",
       "\n",
       "                                                                                              description  \\\n",
       "0  This Privacy Policy addresses the collection and use of personal information - https://t.co/N9W2J34YdA   \n",
       "1                                                                                               BLΛƆKPIИK   \n",
       "2                                      EST. AKRON - ST.V/M Class of '03 https://t.co/TrZZrgR90t #IPROMISE   \n",
       "\n",
       "                    id             location  followers_count  following_count  \\\n",
       "0            155659213                 None        107925993               67   \n",
       "1  1273850774380883975                 None          8610446                0   \n",
       "2             23083404  Amongst La Familia!         52855515              186   \n",
       "\n",
       "   listed_count  tweet_count  \n",
       "0         85635         3886  \n",
       "1          8100          898  \n",
       "2         46337         8878  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_profiles = DB.fetch(table_name='users', path=fname_db)  \n",
    "df_profiles.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Collect User Tweets\n",
    "\n",
    "The code below allows you to collect tweets of specific users.  The tweets will be saved to a database with filename `fname_db` in a table called `\"user_tweets\"`.  \n",
    "\n",
    "The user inputs are as follows:\n",
    "\n",
    "1. `fname_db` = the database filename where you want to store the tweets.  Do not add the `\".db\"` suffix.\n",
    "\n",
    "2. `max_results` = the total number of tweets you want to collect per user.\n",
    "\n",
    "3. `screen_names`  = a list of screen names you want to search for.  Even if you have one screen name, it must still be in a list.\n",
    "\n",
    "4. `start_date` = string of the earliest date of tweets you want.  Should be in `yyyy-mm-dd` format. (This doesn't seem to work for user tweets).\n",
    "\n",
    "5. `end_date` = string of the latest date of tweets you want.  Should be in `yyyy-mm-dd` format.  (This doesn't seem to work for user tweets).\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname_db = \"data/lecture_13\"\n",
    "screen_names =['Cristiano', 'BLACKPINK', 'KingJames']\n",
    "max_results = 100\n",
    "start_date ='2016-02-01'\n",
    "end_date = '2025-03-29'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-03-05 20:35:57.459] [INFO] [api:delete:26] Deleting table user_tweets\n"
     ]
    }
   ],
   "source": [
    "#If you want a fresh table, delete the existing table.  Be careful, because this will erase your data.\n",
    "#Uncomment the line below to delete the existing table.\n",
    "\n",
    "\n",
    "#DB.delete(table_name='user_tweets', path=fname_db)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting tweets for Cristiano\n",
      "[2023-03-05 20:36:05.624] [INFO] [api:fetch_user_tweets:367] Fetched 100 tweets\n",
      "[2023-03-05 20:36:05.688] [INFO] [api:write:61] Writing 100 rows to table user_tweets\n",
      "Collecting tweets for BLACKPINK\n",
      "[2023-03-05 20:36:06.274] [INFO] [api:fetch_user_tweets:367] Fetched 100 tweets\n",
      "[2023-03-05 20:36:06.344] [INFO] [api:write:61] Writing 100 rows to table user_tweets\n",
      "Collecting tweets for KingJames\n",
      "[2023-03-05 20:36:07.098] [INFO] [api:fetch_user_tweets:367] Fetched 100 tweets\n",
      "[2023-03-05 20:36:07.158] [INFO] [api:write:61] Writing 100 rows to table user_tweets\n"
     ]
    }
   ],
   "source": [
    "for screen_name in screen_names: \n",
    "    print(f\"Collecting tweets for {screen_name}\")\n",
    "    user_id =  User.user_info([screen_name]).id.values[0]\n",
    "    df_ut = Tweet.fetch_user_tweets(user_id, start_date, end_date,max_results)\n",
    "    \n",
    "    #add in a screen_name column for convenience\n",
    "    df_ut['screen_name']= screen_name\n",
    "    \n",
    "    #write dataframe to table\n",
    "    DB.write(table_name='user_tweets', path=fname_db, data=df_ut)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check `\"user_tweets\"` Table "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>created_at</th>\n",
       "      <th>screen_name</th>\n",
       "      <th>text</th>\n",
       "      <th>lang</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>reply_count</th>\n",
       "      <th>like_count</th>\n",
       "      <th>quote_count</th>\n",
       "      <th>impression_count</th>\n",
       "      <th>id</th>\n",
       "      <th>author_id</th>\n",
       "      <th>conversation_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>geo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2022-10-29T13:00:03.000Z</td>\n",
       "      <td>Cristiano</td>\n",
       "      <td>LiveScore, it’s More Than A Score. Download the free @livescore app for all the latest football action, stats and analysis. https://t.co/4lzGWzX9Qf https://t.co/N8QC9FoBLn</td>\n",
       "      <td>en</td>\n",
       "      <td>3156</td>\n",
       "      <td>1468</td>\n",
       "      <td>54874</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>1586342096302006272</td>\n",
       "      <td>155659213</td>\n",
       "      <td>1586342096302006272</td>\n",
       "      <td>nan</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2023-01-11T01:47:10.000Z</td>\n",
       "      <td>BLACKPINK</td>\n",
       "      <td>BLACKPINK COACHELLA HEADLINER ANNOUNCEMENT POSTER\\n\\nSee you at @coachella \\nPresale starts Friday, January 13th at 11am PT. Register for the presale now at https://t.co/PxfVKEgt4m \\n\\n#BLACKPINK #블랙핑크 #COACHELLA #HEADLINER #ANNOUNCEMENT #YG https://t.co/MEflWWyWVf</td>\n",
       "      <td>en</td>\n",
       "      <td>51722</td>\n",
       "      <td>2013</td>\n",
       "      <td>152697</td>\n",
       "      <td>3840</td>\n",
       "      <td>4901460</td>\n",
       "      <td>1612989461314564098</td>\n",
       "      <td>1273850774380883975</td>\n",
       "      <td>1612989461314564098</td>\n",
       "      <td>nan</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2022-12-02T07:52:16.000Z</td>\n",
       "      <td>BLACKPINK</td>\n",
       "      <td>RT @Deezer: What was your favorite K-Pop release of the year? (Hint: you can look through this playlist for inspo ▶️ https://t.co/hraHuPqEG…</td>\n",
       "      <td>en</td>\n",
       "      <td>2837</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1598585828069978118</td>\n",
       "      <td>1273850774380883975</td>\n",
       "      <td>1598585828069978118</td>\n",
       "      <td>nan</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2022-07-14T15:47:41.000Z</td>\n",
       "      <td>Cristiano</td>\n",
       "      <td>HARD WORK 💪🏽 https://t.co/NBxQI0TuL6</td>\n",
       "      <td>en</td>\n",
       "      <td>28977</td>\n",
       "      <td>15490</td>\n",
       "      <td>565500</td>\n",
       "      <td>7035</td>\n",
       "      <td>0</td>\n",
       "      <td>1547608781323771904</td>\n",
       "      <td>155659213</td>\n",
       "      <td>1547608781323771904</td>\n",
       "      <td>nan</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2022-06-17T10:01:47.000Z</td>\n",
       "      <td>Cristiano</td>\n",
       "      <td>Feliz aniversário meu filho! 🎂🎉😘\\nComo o tempo passa a correr… ?! Será que ainda vamos jogar juntos?! 🤔😅\\nO mais importante é continuares a ser o menino que és com um coração enorme! Muitas Felicidades, filhote! O papá ama-te muito ❤️🙏🏽 https://t.co/IkxhPi0ulI</td>\n",
       "      <td>pt</td>\n",
       "      <td>15488</td>\n",
       "      <td>7598</td>\n",
       "      <td>383756</td>\n",
       "      <td>1581</td>\n",
       "      <td>0</td>\n",
       "      <td>1537737259302232064</td>\n",
       "      <td>155659213</td>\n",
       "      <td>1537737259302232064</td>\n",
       "      <td>nan</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   created_at screen_name  \\\n",
       "66   2022-10-29T13:00:03.000Z   Cristiano   \n",
       "130  2023-01-11T01:47:10.000Z   BLACKPINK   \n",
       "166  2022-12-02T07:52:16.000Z   BLACKPINK   \n",
       "92   2022-07-14T15:47:41.000Z   Cristiano   \n",
       "98   2022-06-17T10:01:47.000Z   Cristiano   \n",
       "\n",
       "                                                                                                                                                                                                                                                                          text  \\\n",
       "66                                                                                                 LiveScore, it’s More Than A Score. Download the free @livescore app for all the latest football action, stats and analysis. https://t.co/4lzGWzX9Qf https://t.co/N8QC9FoBLn   \n",
       "130  BLACKPINK COACHELLA HEADLINER ANNOUNCEMENT POSTER\\n\\nSee you at @coachella \\nPresale starts Friday, January 13th at 11am PT. Register for the presale now at https://t.co/PxfVKEgt4m \\n\\n#BLACKPINK #블랙핑크 #COACHELLA #HEADLINER #ANNOUNCEMENT #YG https://t.co/MEflWWyWVf   \n",
       "166                                                                                                                               RT @Deezer: What was your favorite K-Pop release of the year? (Hint: you can look through this playlist for inspo ▶️ https://t.co/hraHuPqEG…   \n",
       "92                                                                                                                                                                                                                                        HARD WORK 💪🏽 https://t.co/NBxQI0TuL6   \n",
       "98        Feliz aniversário meu filho! 🎂🎉😘\\nComo o tempo passa a correr… ?! Será que ainda vamos jogar juntos?! 🤔😅\\nO mais importante é continuares a ser o menino que és com um coração enorme! Muitas Felicidades, filhote! O papá ama-te muito ❤️🙏🏽 https://t.co/IkxhPi0ulI   \n",
       "\n",
       "    lang  retweet_count  reply_count  like_count  quote_count  \\\n",
       "66    en           3156         1468       54874          100   \n",
       "130   en          51722         2013      152697         3840   \n",
       "166   en           2837            0           0            0   \n",
       "92    en          28977        15490      565500         7035   \n",
       "98    pt          15488         7598      383756         1581   \n",
       "\n",
       "     impression_count                   id            author_id  \\\n",
       "66                  0  1586342096302006272            155659213   \n",
       "130           4901460  1612989461314564098  1273850774380883975   \n",
       "166                 0  1598585828069978118  1273850774380883975   \n",
       "92                  0  1547608781323771904            155659213   \n",
       "98                  0  1537737259302232064            155659213   \n",
       "\n",
       "         conversation_id in_reply_to_user_id   geo  \n",
       "66   1586342096302006272                 nan  None  \n",
       "130  1612989461314564098                 nan  None  \n",
       "166  1598585828069978118                 nan  None  \n",
       "92   1547608781323771904                 nan  None  \n",
       "98   1537737259302232064                 nan  None  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ut = DB.fetch(table_name='user_tweets', path=fname_db)\n",
    "df_ut.sample(n=5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data = df_ut, x = 'screen_name')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Collect User Followings\n",
    "\n",
    "This code will collect the followings for a group of users.  \n",
    "\n",
    "The user inputs are as follows:\n",
    "\n",
    "1. `fname_db` = the database filename where you want to store the followings.  Do not add the `\".db\"` suffix.\n",
    "\n",
    "\n",
    "2. `screen_names`  = a list of screen names you want to collect followings for.  Even if you have one screen name, it must still be in a list.\n",
    "\n",
    "3. `max_following` = the maximum number of following to get per user.  If this value is large, the code will take longer to run if you have users with a massive following count.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname_db = \"data/lecture_13\"\n",
    "\n",
    "screen_names =['POTUS', 'BarackObama', 'FLOTUS']\n",
    "max_following = 5\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-03-05 20:37:39.890] [INFO] [api:delete:26] Deleting table following\n"
     ]
    }
   ],
   "source": [
    "#If you want a fresh table, delete the existing table.  Be careful, because this will erase your data.\n",
    "#Uncomment the line below to delete the existing table.\n",
    "\n",
    "\n",
    "DB.delete(table_name='following', path = fname_db)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "POTUS          StephenCurry30,WHCOVIDResponse,WHCommsDir,AmbRice46,JOD46\n",
       "BarackObama               chiq85,WinniePooh,Merone,girlsalliance,HGMedia\n",
       "FLOTUS                  LaCasaBlanca,WhiteHouse,SecondGentleman,VP,POTUS\n",
       "dtype: object"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#This code queries the Twitter API for the followings.  It can be VERY slow\n",
    "df_following = Follow.fetch(users=screen_names, target_total = max_following, token_number = 0, kind='following')\n",
    "df_following.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2023-03-05 20:37:50.277] [INFO] [api:write:61] Writing 3 rows to table following\n"
     ]
    }
   ],
   "source": [
    "#write dataframe to table\n",
    "DB.write(table_name='following', path=fname_db, data=df_following)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check `\"following\"` Table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>POTUS</td>\n",
       "      <td>StephenCurry30,WHCOVIDResponse,WHCommsDir,AmbRice46,JOD46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BarackObama</td>\n",
       "      <td>chiq85,WinniePooh,Merone,girlsalliance,HGMedia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FLOTUS</td>\n",
       "      <td>LaCasaBlanca,WhiteHouse,SecondGentleman,VP,POTUS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         index                                                          0\n",
       "0        POTUS  StephenCurry30,WHCOVIDResponse,WHCommsDir,AmbRice46,JOD46\n",
       "1  BarackObama             chiq85,WinniePooh,Merone,girlsalliance,HGMedia\n",
       "2       FLOTUS           LaCasaBlanca,WhiteHouse,SecondGentleman,VP,POTUS"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_following = DB.fetch(table_name='following', path=fname_db)\n",
    "df_following.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Build Networks\n",
    "\n",
    "We will created networkx objects for different networks and save them as pickle files."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build Follower Network From Database\n",
    "\n",
    "This code creates the networkx object for the follower network from the database.  \n",
    "\n",
    "The user inputs are as follows:\n",
    "\n",
    "\n",
    "1. `fname_db` = database filename where you stored the followings.  Do not add the `\".db\"` suffix.\n",
    "\n",
    "\n",
    "2. `fname_following_network` = filename to save follower network to (should end in `\".pickle\"`)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname_db = \"data/lecture_13\"\n",
    "fname_following_network = \"data/lecture_13_following_network.pickle\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_following = DB.fetch(table_name='following', path=fname_db)\n",
    "\n",
    "Gf = nx.DiGraph()\n",
    "V = set(df_following['index'].tolist())\n",
    "for row in zip(df_following['index'], df_following['0']):\n",
    "    nb = row[1].split(\",\")\n",
    "    node = row[0]\n",
    "    Gf.add_node(node)\n",
    "    for u in nb:\n",
    "        if u in V:\n",
    "            Gf.add_edge(u,node)\n",
    "\n",
    "nx.write_gpickle(Gf,fname_following_network)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Draw Following Network (If Not Too Big)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Gf = nx.read_gpickle(fname_following_network)\n",
    "\n",
    "nv_max = 100  #max number of nodes to draw for\n",
    "nv = Gf.number_of_nodes()\n",
    "if nv<nv_max:\n",
    "    pos = nx.kamada_kawai_layout(Gf.to_undirected())\n",
    "    nx.draw(Gf,pos,node_size = 100, node_color = 'red', with_labels = True)\n",
    "    \n",
    "else: print(f\"Network has {nv} nodes, which is more than {nv_max}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build Interaction Network From Keyword Tweets\n",
    "\n",
    "We can build an interaction network from the tweets in the `keyword_tweets` table using the function `interaction_network_from_tweets`.\n",
    "The interaction network includes retweets, replies, and regular mentions of other users.  Our edge convention points to the person tweeting from the person being mentioned in the tweet. \n",
    "\n",
    "The user inputs are as follows:\n",
    "\n",
    "1. `fname_db` = database filename where you stored the keyword tweets.  Do not add the `\".db\"` suffix.\n",
    "\n",
    "2. `fname_interaction_network` = name of the file where you will save the interaction network.  Make sure it ends with `\".pickle\"`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname_db = 'data/lecture_13'\n",
    "fname_interaction_network = 'data/lecture_13_interaction_network.pickle'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "G has 727 nodes and 592 edges\n"
     ]
    }
   ],
   "source": [
    "df_keyword= DB.fetch(table_name='keyword_tweets', path=fname_db)\n",
    "G = interaction_network_from_tweets(df_keyword)\n",
    "pickle.dump(G, open(fname_interaction_network, 'wb'))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Draw Interaction Network (If Not Too Big)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "edge_color = 'purple'\n",
    "background_color = 'black'\n",
    "edge_width = .1\n",
    "node_size = 10\n",
    "node_color = 'red'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "G = nx.read_gpickle(fname_interaction_network)\n",
    "\n",
    "nv_max = 1000\n",
    "nv = G.number_of_nodes()\n",
    "\n",
    "if nv<nv_max:\n",
    "    pos = nx.kamada_kawai_layout(G.to_undirected())  #position of each node in the network\n",
    "    fig = plt.figure(figsize=(8,8))\n",
    "    nx.draw(G, pos, node_color = node_color, \n",
    "            width= edge_width, \n",
    "            edge_color=edge_color,\n",
    "            node_size=node_size,\n",
    "           with_labels=False,\n",
    "            font_color = 'white')\n",
    "    fig.set_facecolor(background_color)\n",
    "    plt.title(\"Interaction Network\",color = 'white',fontsize = 14)\n",
    "    plt.show()\n",
    "    \n",
    "else: print(f\"Network has {nv} nodes, which is more than {nv_max}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Centrality calculation\n",
    "\n",
    "We can look at the nodes with the highest network centralities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>author_id</th>\n",
       "      <th>screen_name</th>\n",
       "      <th>out_degree_centrality</th>\n",
       "      <th>closeness_centrality</th>\n",
       "      <th>betweenness_centrality</th>\n",
       "      <th>eigenvector_centrality</th>\n",
       "      <th>in_degree_centrality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1224185690713460736</td>\n",
       "      <td>goddeketal</td>\n",
       "      <td>0.017906</td>\n",
       "      <td>0.017906</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>191871143</td>\n",
       "      <td>VigilantFox</td>\n",
       "      <td>0.011019</td>\n",
       "      <td>0.011019</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0.001377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>14260960</td>\n",
       "      <td>JustinTrudeau</td>\n",
       "      <td>0.006887</td>\n",
       "      <td>0.006887</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>537709549</td>\n",
       "      <td>LauraLoomer</td>\n",
       "      <td>0.005510</td>\n",
       "      <td>0.005510</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>39844876</td>\n",
       "      <td>RWMaloneMD</td>\n",
       "      <td>0.005510</td>\n",
       "      <td>0.005510</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               author_id    screen_name  out_degree_centrality  \\\n",
       "28   1224185690713460736     goddeketal               0.017906   \n",
       "177            191871143    VigilantFox               0.011019   \n",
       "316             14260960  JustinTrudeau               0.006887   \n",
       "483            537709549    LauraLoomer               0.005510   \n",
       "172             39844876     RWMaloneMD               0.005510   \n",
       "\n",
       "     closeness_centrality  betweenness_centrality  eigenvector_centrality  \\\n",
       "28               0.017906                0.000000                0.000012   \n",
       "177              0.011019                0.000013                0.000007   \n",
       "316              0.006887                0.000000                0.000005   \n",
       "483              0.005510                0.000000                0.000004   \n",
       "172              0.005510                0.000000                0.000004   \n",
       "\n",
       "     in_degree_centrality  \n",
       "28               0.000000  \n",
       "177              0.001377  \n",
       "316              0.000000  \n",
       "483              0.000000  \n",
       "172              0.000000  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Din = nx.in_degree_centrality(G)\n",
    "Dout = nx.out_degree_centrality(G)\n",
    "CC = nx.closeness_centrality(G.reverse())  #reverse edges to match networx convention\n",
    "BC = nx.betweenness_centrality(G)\n",
    "EC = nx.eigenvector_centrality(G.reverse(),max_iter = 1000)  #reverse edges to match networx convention\n",
    "\n",
    "dictionary_list = []\n",
    "for author_id in Din.keys():\n",
    "    screen_name = G.nodes[author_id]['username']\n",
    "    row = {'author_id':author_id,\n",
    "           'screen_name':screen_name,\n",
    "          'out_degree_centrality':Dout[author_id],\n",
    "          'closeness_centrality':CC[author_id],\n",
    "          'betweenness_centrality':BC[author_id],\n",
    "          'eigenvector_centrality':EC[author_id],\n",
    "          'in_degree_centrality':Din[author_id]}\n",
    "    dictionary_list.append(row)\n",
    "df_centrality = pd.DataFrame(dictionary_list)\n",
    "df_centrality.sort_values(by = ['out_degree_centrality'],ascending = False).head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Build Similarity Network\n",
    "\n",
    "We can build a similarity network from the interaction network.  In this network there is an edge between a pair of nodes of their similarity exceeds a minimum threshold.  For similarity, we use a measure called the Jaccard Coefficient (https://en.wikipedia.org/wiki/Jaccard_index).  The similarity network is useful for finding communities.\n",
    "\n",
    "The user inputs are as follows:\n",
    "\n",
    "1. `fname_interaction_network` = name of the file where you saved the interaction network.  Make sure it ends with `\".pickle\"`.\n",
    "\n",
    "2. `fname_similarity_network` = name of the file where you will save the similarity network.  Make sure it ends with `\".pickle\"`.\n",
    "\n",
    "3. `ne_max` = the maximum number of edges in the similarity network\n",
    "\n",
    "4. `jmin` = minimum value of jaccard coefficient of an edge in order to keep it in the similarity network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname_interaction_network = 'data/lecture_13_interaction_network.pickle'\n",
    "fname_similarity_network = 'data/lecture_13_similarity_network.pickle'\n",
    "\n",
    "ne_max = 1e10  #max number of edges in network\n",
    "jmin = 0.5  #minimum value of jaccard coefficient to keep in network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "node pair 0, 0 edges formed in similarity network\n",
      "Similarity network has 430 nodes and 4406 edges over 263311 node pairs\n",
      "Wall time: 3.38 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "G = nx.read_gpickle(fname_interaction_network)\n",
    "\n",
    "Gsim = nx.Graph()\n",
    "preds = nx.jaccard_coefficient(G.to_undirected())\n",
    "ne=0\n",
    "for c, x in enumerate(preds):\n",
    "    if x[2]>jmin:\n",
    "        Gsim.add_edge(x[0],x[1],weight=x[2])\n",
    "        ne+=1\n",
    "    if c%1e6==0:\n",
    "        print(f\"node pair {c}, {ne} edges formed in similarity network\")\n",
    "    if ne>ne_max:break\n",
    "\n",
    "print(f\"Similarity network has {Gsim.number_of_nodes()} nodes and {Gsim.number_of_edges()} edges over {c} node pairs\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "#save similarity network\n",
    "nx.write_gpickle(Gsim, fname_similarity_network)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Find Communities Using Similarity Network\n",
    "\n",
    "We can find the modularity communities in the similarity network and plot their sizes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100 modularity communities\n"
     ]
    }
   ],
   "source": [
    "Gsim = nx.read_gpickle(fname_similarity_network)\n",
    "\n",
    "Comm = nx_comm.greedy_modularity_communities(Gsim.to_undirected())\n",
    "C = []\n",
    "V = []\n",
    "for count,comm in enumerate(Comm):\n",
    "    for v in comm:\n",
    "        C.append(count)\n",
    "        V.append(v)\n",
    "        \n",
    "df_mod = pd.DataFrame({'screen_name':V, 'community':C})\n",
    "ncomm_mod = len(df_mod.community.unique())\n",
    "print(f\"{ncomm_mod} modularity communities\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot modularity community sizes\n",
    "fig = plt.figure(figsize = (18,6))\n",
    "plt.subplot(1,2,1)\n",
    "ax = sns.countplot(data=df_mod, x=\"community\")\n",
    "plt.xlabel(\"Community\", fontsize = 14)\n",
    "plt.ylabel(\"Number of nodes\", fontsize = 14)\n",
    "plt.title(f\"{ncomm_mod} modularity communities\", fontsize = 18)\n",
    "plt.xticks(fontsize = 12)\n",
    "plt.yticks(fontsize = 12)\n",
    "\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Draw Similarity Network (If Not Too Big)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "Colors = [np.random.uniform(0,1,3) for _ in range(ncomm_mod)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "node_color_mod = [Colors[df_mod.community[df_mod.screen_name==node].values[0]] for node in Gsim.nodes()]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "edge_color = 'purple'\n",
    "background_color = 'black'\n",
    "edge_width = .1\n",
    "node_size = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 3.12 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "nv_max = 1000\n",
    "nv = Gsim.number_of_nodes()\n",
    "\n",
    "if nv<nv_max:\n",
    "    pos = nx.kamada_kawai_layout(Gsim.to_undirected())  #position of each node in the network\n",
    "    fig = plt.figure(figsize=(8,8))\n",
    "    nx.draw(Gsim, pos, \n",
    "            node_color = node_color_mod, \n",
    "            width= edge_width, \n",
    "            edge_color=edge_color,\n",
    "            node_size=node_size,\n",
    "           with_labels=False,\n",
    "            font_color = 'white')\n",
    "    fig.set_facecolor(background_color)\n",
    "    plt.title(\"Similarity Network, Modularity communities\",color = 'white',fontsize = 14)\n",
    "    plt.show()\n",
    "    \n",
    "else: print(f\"Network has {nv} nodes, which is more than {nv_max}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}