Machine learningNetwork science
有向模块度分析
有向模块度分析将经典的 Newman-Girvan 模块度框架扩展到有向图，其中边具有源和目的地。Leicht 和 Newman 于 2008 年将其形式化，它通过最大化模块度分数将节点划分为社区，该分数考虑了零模型中每个节点单独的入度和出度，使其成为引文网络、信息流和其他非对称关系数据中社区检测的标准方法。
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来源
- 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 ↗
如何引用本页
ScholarGate. (2026, June 3). Directed Modularity Analysis (Leicht-Newman Directed Community Detection). ScholarGate. https://scholargate.app/zh/network-analysis/directed-modularity-analysis
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