Network Motif Analysis
Network Motif Analysis is a graph mining technique that identifies statistically significant subgraph patterns recurrent in a network more frequently than expected by chance, distinguishing it from other structural analysis methods by focusing on the overrepresentation of specific topological configurations as indicators of functional modules.
153
Publications
13.3K
Citations
420
Authors
246
Institutions
Publications per year
2017–2026
42
153
FANMOD: a tool for fast network motif detection
Sebastian Wernicke, Florian Rasche · Bioinformatics · 2006 · 758 citations · Full text
Local Higher-Order Graph Clustering
Hao Yin, Austin R. Benson, Jure Leskovec et al. · 2017 · 601 citations · Full text
Efficient sampling algorithm for estimating subgraph concentrations and detecting network motifs
Nadav Kashtan, Shalev Itzkovitz, Ron Milo et al. · Bioinformatics · 2004 · 548 citations · Full text
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University College Dublin
Dublin, Ireland
5 h-index
18 publications
401 citations

Universidade do Porto
Porto, Portugal
5 h-index
17 publications
704 citations
Universidade de São Paulo
São Paulo, Brazil
4 h-index
9 publications
148 citations
Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK)
Gatersleben, Germany
4 h-index
7 publications
828 citations

University of Tehran
Tehran, Iran
4 h-index
18 publications
2.4K citations

University of Toronto
Toronto, Canada
4 h-index
6 publications
894 citations
The University of Tokyo
Tokyo, Japan
3 h-index
4 publications
186 citations
Institute for Infocomm Research
Singapore, Singapore
3 h-index
4 publications
291 citations
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7 publications · 2.2K citations
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6 publications · 209 citations
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6 publications · 190 citations
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Repository · 5 publications · 131 citations
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PRE · 5 publications · 305 citations
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