Modularity Significance Testing
Modularity Significance Testing is a statistical method used in network science to assess whether the modularity value of a detected community structure significantly exceeds the expected modularity of a null model, thereby distinguishing meaningful community organization from random fluctuations in network topology.
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Publications
339
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12
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9
Institutions
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2017–2026
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8
Significant Scales in Community Structure
Vincent Traag, Gautier Krings, Paul Van Dooren · Scientific Reports · 2013 · 142 citations · Full text
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Real Impact Analytics
Luxembourg, Luxembourg
1 h-index
1 publications
142 citations
Jilin University
Changchun, China
1 h-index
2 publications
30 citations
UCLouvain
Louvain-la-Neuve, Belgium
1 h-index
2 publications
284 citations
Oregon State University
Corvallis, United States
1 h-index
1 publications
34 citations

University of Bristol
Bristol, United Kingdom
1 h-index
2 publications
50 citations
Minnan Normal University
Zhangzhou, China
1 h-index
1 publications
15 citations
University of Houston
Houston, United States
1 h-index
1 publications
18 citations

Royal Netherlands Institute of Southeast Asian and Caribbean Studies
Leiden, Netherlands
1 h-index
1 publications
142 citations
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2 publications · 167 citations
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TREE · 1 publications · 34 citations
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1 publications · 10 citations
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PRE · 1 publications · 73 citations
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Repository · 1 publications · 22 citations
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