Machine learningNetwork science
动态模块性分析
动态模块性分析将经典的模块性框架扩展到随时间演化的网络，在时间步之间对不必要的社区变化进行惩罚的同时，检测一系列网络快照中的社区。它识别内聚的群体，并跟踪它们如何形成、合并、分裂或解散，为研究人员提供纵向网络数据结构变化的原则性视图。
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来源
- 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 ↗
- Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008. DOI: 10.1088/1742-5468/2008/10/P10008 ↗
如何引用本页
ScholarGate. (2026, June 3). Dynamic Modularity Analysis (Temporal Community Structure Detection). ScholarGate. https://scholargate.app/zh/network-analysis/dynamic-modularity-analysis
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