Community Structure Visualization

Community Structure Visualization is a hybrid network representation method that integrates node-attribute data with topological structure to visually reveal the organization and relationships of communities within complex networks.

196

Publications

10.9K

Citations

620

Authors

300

Institutions

Publications per year

2017–2026

55

Authors

620

  1. UB
    Ulrik Brandes

    University of Konstanz, Germany

    4 publications · 329 citations

    4

    h-index

  2. BS
    Ben Shneiderman

    University of Maryland, College Park, United States

    4 publications · 223 citations

    4

    h-index

  3. DW
    Daniel Weiskopf

    University of Stuttgart, Germany

    3 publications · 218 citations

    3

    h-index

  4. CV
    Corinna Vehlow

    University of Stuttgart, Germany

    3 publications · 218 citations

    3

    h-index

  5. HQ
    Huamin Qu

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

    2 publications · 30 citations

    2

    h-index

1–5 of 620

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 9 publications · 961 citations

    9

    h-index

  2. 7

    h-index

  3. Computer Graphics Forum

    5 publications · 208 citations

    5

    h-index

  4. Information Sciences

    4 publications · 110 citations

    4

    h-index

  5. Knowledge-Based Systems

    4 publications · 75 citations

    4

    h-index

1–5