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Weighted Modularity Analysis/证据
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Weighted Modularity Analysis

Weighted modularity analysis extends the classical Newman-Girvan modularity measure to networks where edges carry numeric strengths (frequencies, intensities, costs). By replacing binary adjacency with tie weights, it finds community partitions that reflect how densely interconnected subgroups are relative to what is expected under a weighted null model, yielding more nuanced groupings than unweighted approaches on data where edge strength varies meaningfully.

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源记录

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Weighted Modularity Analysis (Q-weighted community structure detection)
分类方法记录 · ml-model / network-analysis
  • Newman, M. E. J. (2004). Analysis of weighted networks. Physical Review E, 70(5), 056131. · DOI 10.1103/PhysRevE.70.056131
  • 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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Taxonomic bucketBetweenness Centralitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketModularity Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeighted Betweenness Centralitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeighted Community Detectionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeighted Social Network Analysismachine-suggested · Relational suggestion, not evidence.

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