Clustered Network Visualization

Clustered Network Visualization is a hierarchical network visualization technique that organizes nodes into groups based on structural or attribute similarity, thereby emphasizing community structure and reducing visual complexity through aggregated or nested representations.

12

Publications

832

Citations

60

Authors

29

Institutions

Publications per year

2017–2026

0

Authors

60

  1. SG
    Saul Greenberg

    University of Calgary, Canada

    2 publications · 269 citations

    2

    h-index

  2. LB
    Lyn Bartram

    Simon Fraser University, Canada

    2 publications · 269 citations

    2

    h-index

  3. JC
    John C. Dill

    Simon Fraser University, Canada

    2 publications · 269 citations

    2

    h-index

  4. SD
    Shelli Dubs

    Simon Fraser University, Canada

    2 publications · 269 citations

    2

    h-index

  5. DS
    Doug Schaffer

    Simon Fraser University, Canada

    2 publications · 269 citations

    2

    h-index

1–5 of 60

Venues

  1. Bioinformatics

    2 publications · 49 citations

    2

    h-index

  2. 1

    h-index

  3. BMC Systems Biology

    1 publications · 115 citations

    1

    h-index

  4. 2012 16th International Conference on Information Visualisation

    Conference · 1 publications · 16 citations

    1

    h-index

  5. ACM Transactions on Computer-Human Interaction

    TOCHI · 1 publications · 233 citations

    1

    h-index

1–5