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Paper Visualization

No. Name Description Info Tools
1. Inciteful The goal of Inciteful is to give the world free tools to help you map academic literature. It can be used in a variety of ways depending on what you are trying to accomplish. Start from seed paper(s), you can have an overview on the current state of that topic. Then, by adding more seed papers or filters, you can further craft the citation graph and have a focus on your search. If you are writing a paper, you can import the items in your reference list to Inciteful, and the resulting graph should be centered around the paper you are writing.
2. Open Knowledge Maps Open Knowledge Maps (OKM) is an open-source platform for creating and visualizing knowledge graphs. It is based on the RDF (Resource Description Framework) standard, which makes it possible to integrate data from different sources.
3. LitMaps This tool creates visual maps of research topics based on AI analysis of scholarly articles. These maps can reveal under-explored areas within the topic.
4. Connected Papers Free tool that allows you to visually explore the relationships between different research papers. Creates a network graph where each node represents a paper and the edges between nodes represent citations. Helpful way to find new papers that are related to the research you are already familiar with.
5. VOSviewer VOSviewer is a software tool for constructing and visualizing bibliometric networks, such as co-authorship networks, citation networks, and co-occurrence networks.
6. CiteSpace CiteSpace is a software that helps you create and explore networks of publications based on citation data. You can download different versions of CiteSpace for free or with a license, and view the top 1% highly cited papers in various fields of research
7. Gephi Gephi is an open-source software platform for visualizing and analyzing networks. It is a powerful tool that can be used to visualize the relationships between different entities, such as people, organizations, and products.
8. Bibliometrix Bibliometrix is an R-tool for comprehensive science mapping analysis. Bibliometrix is a software that helps you create and explore networks of publications based on citation data.

Exercise

  1. Open Knowledge Maps: Mapping Trends in Artificial Intelligence (AI) Research:

    • Objective: Utilize Open Knowledge Maps to visually represent trends in AI research over the past decade.
    • Tasks:
      • Create a knowledge map to highlight key subfields in AI.
      • Visualize the connections between prominent authors and institutions.
      • Identify the most cited papers and their influence on the field.

  2. VOSviewer: Visualizing Collaboration Networks in Big Data Analytics:

    • Objective: Apply VOSviewer to visualize collaboration networks among researchers in the field of Big Data Analytics.
    • Tasks:
      • Create a network map of authors and institutions based on co-authorship.
      • Explore the density and centrality of collaboration clusters.
      • Analyze the evolution of collaboration networks over time.

  3. CiteSpace: Uncovering Emerging Trends in Cybersecurity Research:

    • Objective: Leverage CiteSpace to uncover emerging trends and hotspots in cybersecurity research.
    • Tasks:
      • Identify bursty keywords and topics in recent cybersecurity literature.
      • Visualize the co-citation network to find influential papers.
      • Examine the temporal evolution of research clusters.

  4. Gephi: Analyzing the Evolution of Machine Learning Algorithms:

    • Objective: Use Gephi to visualize the evolution of machine learning algorithms and their interconnections.
    • Tasks:
      • Create a dynamic graph representing the relationships between machine learning algorithms.
      • Analyze centrality metrics to identify the most influential algorithms.
      • Explore how the popularity of algorithms has changed over time.

  5. Bibliometrix: Assessing the Impact of Open Source Software in Software Engineering:

    • Objective: Apply Bibliometrix to assess the impact of open-source software in the field of Software Engineering.
    • Tasks:
      • Visualize co-citation networks to identify influential software projects.
      • Analyze the collaboration patterns among authors contributing to open-source research.
      • Evaluate the impact of open-source software on subsequent research and industry practices.

This hands-on approach will help students develop valuable skills in using paper visualization tools for academic exploration in Computer Science.

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