Community Detection
Community Detection is a computational method in network science that identifies densely connected subgroups within a larger network structure by distinguishing local clusters of nodes exhibiting stronger internal interactions compared to external ones.
4.2K
Publications
384.2K
Citations
9K
Authors
2.2K
Institutions
Publications per year
2017–2026
1.9K
Variants
Graph ClusteringNetwork Clustering
4.2K
Finding and evaluating community structure in networks
Michelle G. Newman, Michelle Girvan · Physical Review E · 2004 · 14.1K citations · Full text
Santo Fortunato · Physics Reports · 2009 · 11.3K citations · Full text
Finding community structure in very large networks
Aaron Clauset, M. E. J. Newman, Cristopher Moore · Physical Review E · 2004 · 7.5K citations · Full text
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2.2K

Xidian University
Xi'an, China
41 h-index
334 publications
16.6K citations

Chinese Academy of Sciences
Beijing, China
39 h-index
169 publications
14K citations
University of Michigan
Ann Arbor, United States
39 h-index
98 publications
69.2K citations
Stanford University
Stanford, United States
34 h-index
88 publications
18.8K citations
University of Oxford
Oxford, United Kingdom
32 h-index
71 publications
11.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
32 h-index
108 publications
9.1K citations

Centre National de la Recherche Scientifique
Paris, France
31 h-index
109 publications
13.3K citations
Tsinghua University
Beijing, China
28 h-index
114 publications
9.2K citations
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PRE · 116 publications · 64.2K citations
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203 publications · 10.2K citations
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Repository · 186 publications · 7.6K citations
45
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91 publications · 6.2K citations
41
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69 publications · 3.5K citations
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