Bipartite Network Modularity

Bipartite Network Modularity is a quantitative metric that evaluates the strength of division of a bipartite network into modules or communities by comparing the observed density of edges within groups to the expected density in a null model preserving node degrees.

62

Publications

5.5K

Citations

158

Authors

103

Institutions

Publications per year

2017–2026

19

Authors

158

  1. TM
    Tsuyoshi Murata

    Tokyo Institute of Technology, Japan

    6 publications · 173 citations

    6

    h-index

  2. JM
    Jens M. Olesen

    Aarhus University, Denmark

    3 publications · 151 citations

    3

    h-index

  3. EV
    Eugene V. Koonin

    National Center for Biotechnology Information, United States

    3 publications · 435 citations

    3

    h-index

  4. JI
    Jaime Iranzo

    National Center for Biotechnology Information, United States

    3 publications · 435 citations

    3

    h-index

  5. KO
    Kaoru Ota

    Muroran Institute of Technology, Japan

    2 publications · 63 citations

    2

    h-index

1–5 of 158

Venues

  1. Physical Review E

    PRE · 5 publications · 1.4K citations

    5

    h-index

  2. Oikos

    3 publications · 181 citations

    3

    h-index

  3. Information Sciences

    3 publications · 77 citations

    3

    h-index

  4. 2

    h-index

  5. Journal of Biogeography

    2 publications · 166 citations

    2

    h-index

1–5