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
Parents
62
Modularity and community detection in bipartite networks
Michael Barber · Physical Review E · 2007 · 770 citations · Full text
A method for detecting modules in quantitative bipartite networks
Methods in Ecology and Evolution · 2013 · 517 citations · Full text
Life Sciences, Biology, Ecology +17
Tao Wen, Penghao Xie, Shengdie Yang et al. · iMeta · 2022 · 442 citations · Full text
1–5 of 62
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National Center for Biotechnology Information, United States
3 publications · 435 citations
3
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National Center for Biotechnology Information, United States
3 publications · 435 citations
3
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2
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1–5 of 158
103
Tokyo Institute of Technology
Tokyo, Japan
7 h-index
10 publications
284 citations

Aarhus University
Aarhus, Denmark
3 h-index
6 publications
318 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
5 publications
256 citations
National Center for Biotechnology Information
Bethesda, United States
3 h-index
6 publications
870 citations
Harvard University
Cambridge, United States
3 h-index
6 publications
472 citations
Liaoning Normal University
Dalian, China
3 h-index
8 publications
313 citations
Universidade de São Paulo
São Paulo, Brazil
2 h-index
6 publications
868 citations
Biology of Extremophiles Laboratory
Orsay, France
2 h-index
3 publications
396 citations
1–8 of 103
PRE · 5 publications · 1.4K citations
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3 publications · 181 citations
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3 publications · 77 citations
3
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2 publications · 63 citations
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2 publications · 166 citations
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