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Modularity Analysis/Evidence
Method evidence record

Modularity Analysis

Modularity analysis is a network science method, formalized by Newman and Girvan in 2004, that detects community structure in graphs by measuring whether edges are more concentrated within groups than expected by chance. Its scalar quality index Q guides algorithms that partition nodes into cohesive clusters, making it the most widely adopted framework for community detection in social, biological, and technological networks.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Modularity Analysis (Newman-Girvan Community Detection Framework)
Taxonomic method record · ml-model / network-analysis
  • Newman, M. E. J., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E, 69(2), 026113. · DOI 10.1103/PhysRevE.69.026113
  • Newman, M. E. J. (2006). Modularity and community structure in networks. Proceedings of the National Academy of Sciences, 103(23), 8577–8582. · DOI 10.1073/pnas.0601602103
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketBetweenness Centralitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketEigenvector Centralitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketNetwork Diffusion Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSocial Network Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTwo-mode Network Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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