Community Visualization

Community Visualization is a specialized form of network visualization that focuses on the graphical representation of communities or clusters within complex networks, distinguished by its emphasis on revealing structural cohesion and inter-cluster relationships through visual encoding of group boundaries, node affiliations, and intra- versus inter-community connectivity patterns.

337

Publications

16.9K

Citations

1K

Authors

439

Institutions

Publications per year

2017–2026

87

Authors

1K

  1. UB
    Ulrik Brandes

    University of Konstanz, Germany

    5 publications · 181 citations

    5

    h-index

  2. NC
    Nan Cao

    Tongji University, China

    5 publications · 330 citations

    5

    h-index

  3. HQ
    Huamin Qu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    5 publications · 377 citations

    5

    h-index

  4. MA
    Marc A. Smith

    Microsoft (United States), United States

    4 publications · 151 citations

    4

    h-index

  5. BS
    Ben Shneiderman

    University of Maryland, College Park, United States

    4 publications · 223 citations

    4

    h-index

1–5 of 1K

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 16 publications · 1.5K citations

    15

    h-index

  2. 10

    h-index

  3. Computer Graphics Forum

    5 publications · 208 citations

    5

    h-index

  4. arXiv (Cornell University)

    Repository · 5 publications · 140 citations

    5

    h-index

  5. Knowledge-Based Systems

    5 publications · 195 citations

    5

    h-index

1–5