Weighted Network Modularity

Weighted Network Modularity is a network modularity metric that quantifies the strength of division of a weighted network into modules by comparing the actual distribution of edge weights within communities to the expected distribution in a null model that preserves node strength.

32

Publications

2.6K

Citations

175

Authors

118

Institutions

Publications per year

2017–2026

15

Variants

Weighted Modularity

Authors

175

  1. BH
    Bruce Hendrickson

    Sandia National Laboratories, United States

    2 publications · 207 citations

    2

    h-index

  2. KB
    Katrin Böhning‐Gaese

    Senckenberg Biodiversity and Climate Research Centre, Germany

    2 publications · 349 citations

    2

    h-index

  3. ML
    Menghui Li

    Chung Yuan Christian University, Taiwan

    2 publications · 120 citations

    2

    h-index

  4. YF
    Ying Fan

    Beijing Normal University, China

    2 publications · 120 citations

    2

    h-index

  5. BD
    Bo Dalsgaard

    University of Copenhagen, Denmark

    2 publications · 349 citations

    2

    h-index

1–5 of 175

Venues

  1. 7

    h-index

  2. Information Sciences

    2 publications · 142 citations

    2

    h-index

  3. Applied Mathematics and Computation

    1 publications · 75 citations

    1

    h-index

  4. Open Economies Review

    1 publications · 37 citations

    1

    h-index

  5. BMC Genomics

    1 publications · 22 citations

    1

    h-index

1–5