Machine learningNetwork science
加权模块度分析
加权模块度分析将经典的Newman-Girvan 模块度度量扩展到具有数值强度（频率、强度、成本）的边的网络。通过用连接权重替换二元邻接关系，它可以找到反映子群组的互联密集程度相对于加权零模型下的预期情况的社区划分，从而在边强度有意义地变化的原始数据上产生比非加权方法更细致的划分。
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来源
- 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 ↗
如何引用本页
ScholarGate. (2026, June 3). Weighted Modularity Analysis (Q-weighted community structure detection). ScholarGate. https://scholargate.app/zh/network-analysis/weighted-modularity-analysis
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