Community Detection Visualization

Community Detection Visualization is a visualization method that specifically represents the results of community detection algorithms by graphically delineating node groupings and their interrelationships within a network structure to facilitate the interpretation of modular organization.

21

Publications

738

Citations

65

Authors

42

Institutions

Publications per year

2017–2026

6

Authors

65

  1. EY
    Eiko Yoneki

    University of Cambridge, United Kingdom

    2 publications · 61 citations

    2

    h-index

  2. BG
    Bo Gao

    Tsinghua University, China

    1 publications · 17 citations

    1

    h-index

  3. BY
    Bingru Yang

    Beijing Information Science & Technology University, China

    1 publications · 17 citations

    1

    h-index

  4. FS
    Fabíola S. F. Pereira

    Universidade Federal de Uberlândia, Brazil

    1 publications · 31 citations

    1

    h-index

  5. KU
    Kimberly Ueyama

    National Institute of Informatics, Japan

    1 publications · 25 citations

    1

    h-index

1–5 of 65

Venues

  1. Information Sciences

    2 publications · 75 citations

    2

    h-index

  2. Social Networks

    1 publications · 60 citations

    1

    h-index

  3. Multimedia Tools and Applications

    1 publications · 31 citations

    1

    h-index

  4. Lirias (KU Leuven)

    Repository · 1 publications · 14 citations

    1

    h-index

  5. The Journal of Open Source Software

    JOSS · 1 publications · 39 citations

    1

    h-index

1–5