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Temporal Modularity Analysis/Evidence
Method evidence record

Temporal Modularity Analysis

Temporal modularity analysis extends standard modularity-based community detection to time-varying networks by treating each time slice as a network layer and coupling adjacent layers with inter-temporal links. This allows researchers to identify how communities form, persist, merge, split, and dissolve over time in dynamic relational data.

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Source record

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

Temporal Modularity Analysis (Dynamic Community Detection via Modularity Optimization)
Taxonomic method record · ml-model / network-analysis
  • Mucha, P. J., Richardson, T., Macon, K., Porter, M. A., & Onnela, J.-P. (2010). Community structure in time-dependent, multiscale, and multiplex networks. Science, 328(5980), 876-878. · DOI 10.1126/science.1184819
  • Holme, P., & Saramaki, J. (2012). Temporal networks. Physics Reports, 519(3), 97-125. · DOI 10.1016/j.physrep.2012.03.001
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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 bucketDynamic Community Detectionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketModularity Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTemporal Community Detectionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTemporal Social Network Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeighted Modularity 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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