Interdependent Network Visualization

Interdependent Network Visualization is a multilayer network visualization approach that explicitly represents and analyzes the mutual dependencies and cross-layer interactions between distinct but interconnected networks, distinguishing it from other multilayer visualizations by its focus on dependency-driven structure and behavior.

5

Publications

165

Citations

16

Authors

7

Institutions

Publications per year

2017–2026

3

Authors

16

  1. HK
    Hyunmo Kang

    University of Maryland, College Park, United States

    1 publications · 53 citations

    1

    h-index

  2. YC
    Yen‐Ching Chuang

    National Taipei University of Technology, Taiwan

    1 publications · 15 citations

    1

    h-index

  3. BS
    B. Shneiderman

    University of Maryland, College Park, United States

    1 publications · 53 citations

    1

    h-index

  4. JJ
    James J.H. Liou

    National Taipei University of Technology, Taiwan

    1 publications · 15 citations

    1

    h-index

  5. SP
    Shiv Patel

    Georgia Institute of Technology, United States

    1 publications · 73 citations

    1

    h-index

1–5 of 16

Venues

  1. Service Science

    1 publications · 73 citations

    1

    h-index

  2. 1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 53 citations

    1

    h-index

  4. 1

    h-index

  5. Multimedia Tools and Applications

    1 publications · 12 citations

    1

    h-index

1–5