Dynamic Complex Network Assignment #2, #3, #4 and #5

Installation

$ virtualenv -p python3 .venv
$ source .venv/bin/activate
$ pip3 install -r requirements.txt

Calculate Graph Metrics

In order to calculate graph metrics such as #nodes, #edges, average degree, density, centralities, degree distribution plot, first and second clustering coefficient, etc, run this:

$ python3 main.py calculate <DATASET_FILE>

DATASET_FILE can be facebook, physics and food_web.

Generate Famous Random Graphs

In order to generate random graphs like Erdős-Rényi, Watts-Strogatz, Barabasi-Albert and Random-Kernel run this:

$ python3 main.py generate <DATASET_FILE> <RANDOM_GRAPH_TYPE>

DATASET_FILE can be facebook, physics and food_web.

RANDOM_GRAPH_TYPE can be erdos_renyi, watts_strogatz, barabasi_albert and random_kernel.

Detect Communities

In order to detect and plot communities and calculate modularity run this:

$ python3 main.py community_detect <DATASET_FILE> <COMMUNITY_DETECTION_ALGORITHM>

DATASET_FILE can be facebook, physics and food_web.

COMMUNITY_DETECTION_ALGORITHM can be girvan_newman and clauset_newman_moore.

Simulate Epidemic Models

In order to simulate epidemic models, run this:

$ python3 main.py simulate <EPIDEMIC_MODEL> <RANDOM_GRAPH_MODEL>

EPIDEMIC_MODEL can be si and sir

RANDOM_GRAPH_MODEL can be erdos_renyi and barabasi_albert