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Directed Modularity Analysis/证据
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Directed Modularity Analysis

Directed modularity analysis extends the classic Newman-Girvan modularity framework to directed graphs, where edges carry a source and a destination. Formalized by Leicht and Newman in 2008, it partitions nodes into communities by maximizing a modularity score that accounts for each node's separate in-degree and out-degree in the null model, making it the standard approach for community detection in citation networks, information flows, and other asymmetric relational data.

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源记录

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Directed Modularity Analysis (Leicht-Newman Directed Community Detection)
分类方法记录 · ml-model / network-analysis
  • Leicht, E. A., & Newman, M. E. J. (2008). Community structure in directed networks. Physical Review Letters, 100(11), 118703. · DOI 10.1103/PhysRevLett.100.118703
  • 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
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Taxonomic bucketBetweenness Centralitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDirected Community Detectionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDirected Social Network Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketModularity Analysismachine-suggested · Relational suggestion, not evidence.Used in the same domainStochastic Block Modelmachine-suggested · Relational suggestion, not evidence.

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