Community Exploration

Community Exploration is a research methodology within network analysis that specifically focuses on identifying, characterizing, and understanding the structure, dynamics, and functional roles of subgroups or clusters of densely interconnected nodes within complex networks.

48

Publications

2.7K

Citations

136

Authors

77

Institutions

Publications per year

2017–2026

11

Authors

136

  1. JE
    John E. Hopcroft

    Cornell University, United States

    2 publications · 134 citations

    2

    h-index

  2. YL
    Yixuan Li

    Cornell University, United States

    2 publications · 134 citations

    2

    h-index

  3. DL
    Dayou Liu

    Jilin University, China

    2 publications · 116 citations

    2

    h-index

  4. CY
    Cong Yu

    Google (United States), United States

    2 publications · 29 citations

    2

    h-index

  5. CB
    Carlos Baquero

    University of Minho, Portugal

    2 publications · 116 citations

    2

    h-index

1–5 of 136

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 47 citations

    2

    h-index

  2. Journal of Statistical Mechanics Theory and Experiment

    JSTAT · 2 publications · 68 citations

    2

    h-index

  3. Learning Disability Quarterly

    LDQ · 1 publications · 54 citations

    1

    h-index

  4. Teaching Sociology

    TS · 1 publications · 10 citations

    1

    h-index

  5. Synthesis lectures on data management

    1 publications · 22 citations

    1

    h-index

1–5