Community Visualization Evaluation

Community Visualization Evaluation is an academic methodology that systematically assesses the effectiveness, usability, and impact of visual representations in conveying community structures and dynamics within data, distinguishing itself by focusing on both technical accuracy and human interpretability in communal contexts.

5

Publications

115

Citations

26

Authors

8

Institutions

Publications per year

2017–2026

1

Authors

26

  1. WB
    William Brown

    Columbia University, United States

    1 publications · 32 citations

    1

    h-index

  2. ME
    Michael E. Bales

    Columbia University, United States

    1 publications · 32 citations

    1

    h-index

  3. SB
    Suzanne Bakken

    Columbia University, United States

    1 publications · 32 citations

    1

    h-index

  4. MC
    Manuel C Co

    Columbia University, United States

    1 publications · 32 citations

    1

    h-index

  5. JG
    José Gustavo S. Paiva

    Universidade Federal de Uberlândia, Brazil

    1 publications · 31 citations

    1

    h-index

1–5 of 26

Venues

  1. Qucosa (Saxon State and University Library Dresden)

    Repository · 1 publications · 11 citations

    1

    h-index

  2. Multimedia Tools and Applications

    1 publications · 31 citations

    1

    h-index

  3. PubMed

    Repository · 1 publications · 32 citations

    1

    h-index

  4. Socio-Economic Planning Sciences

    1 publications · 29 citations

    1

    h-index

  5. Journal of Visual Languages & Computing

    JVLC · 1 publications · 10 citations

1–5