Interaction Network Visualization

Interaction Network Visualization is a visual representation method that maps and displays the structural and functional relationships between entities in a network, distinguished by its focus on depicting pairwise interactions and their topological properties to facilitate the analysis of complex relational data.

61

Publications

4.4K

Citations

197

Authors

104

Institutions

Publications per year

2017–2026

13

Authors

197

  1. KH
    Kyungsook Han

    Inha University, South Korea

    3 publications · 85 citations

    3

    h-index

  2. BJ
    Byong-Hyon Ju

    Inha University, South Korea

    3 publications · 85 citations

    3

    h-index

  3. UB
    Ulrik Brandes

    University of Konstanz, Germany

    2 publications · 136 citations

    2

    h-index

  4. JY
    Jake Y. Chen

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 25 citations

    2

    h-index

  5. JX
    Jianguo Xia

    McGill University, Canada

    2 publications · 1.2K citations

    2

    h-index

1–5 of 197

Venues

  1. Bioinformatics

    10 publications · 693 citations

    10

    h-index

  2. Nucleic Acids Research

    4 publications · 1.8K citations

    4

    h-index

  3. BMC Bioinformatics

    4 publications · 166 citations

    4

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 136 citations

    2

    h-index

  5. Social Networks

    2 publications · 69 citations

    2

    h-index

1–5