Interactive Network Visualization

Interactive Network Visualization is a visualization method that enables dynamic, user-driven exploration and manipulation of network data through interactive interfaces, distinguishing itself from static network visualizations by supporting real-time user engagement, navigation, and analytical reasoning within complex relational structures.

140

Publications

21.2K

Citations

470

Authors

214

Institutions

Publications per year

2017–2026

18

Authors

470

  1. SG
    Stephen G. Eick

    AT&T (United States), United States

    5 publications · 454 citations

    5

    h-index

  2. JF
    Jean‐Daniel Fekete

    Institut national de recherche en sciences et technologies du numérique, France

    4 publications · 478 citations

    4

    h-index

  3. JH
    Jeffrey Heer

    University of Washington, United States

    4 publications · 801 citations

    4

    h-index

  4. BB
    Benjamin Bach

    University of Edinburgh, United Kingdom

    4 publications · 335 citations

    4

    h-index

  5. BS
    Ben Shneiderman

    University of Maryland, College Park, United States

    4 publications · 440 citations

    4

    h-index

1–5 of 470

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 13 publications · 1.4K citations

    13

    h-index

  2. Nucleic Acids Research

    8 publications · 900 citations

    8

    h-index

  3. Bioinformatics

    7 publications · 462 citations

    7

    h-index

  4. IEEE Computer Graphics and Applications

    6 publications · 239 citations

    6

    h-index

  5. Information Visualization

    5 publications · 180 citations

    5

    h-index

1–5