Machine learningNetwork science

动态社群侦测

动态社群侦测旨在识别网络中随时间演变的密集连接节点群组，追踪社群在时间快照中的形成、合并、分裂和消散过程。该方法是为了将静态的模块度优化扩展到时变结构而开发的，广泛应用于社交、生物和通信网络研究。

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动态社群侦测

模块度分析多层社区检测随机块模型时态社群检测时间网络分析动态度中心性动态PageRank Dynamic Stochastic Block…动态双模网络分析时间模块度分析

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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 ↗
Fortunato, S., & Hric, D. (2016). Community detection in networks: A user guide. Physics Reports, 659, 1–44. DOI: 10.1016/j.physrep.2016.09.002 ↗

如何引用本页

ScholarGate. (2026, June 3). Dynamic Community Detection in Evolving Networks. ScholarGate. https://scholargate.app/zh/network-analysis/dynamic-community-detection

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被引用于

动态度中心性动态PageRank Dynamic Stochastic Block Model 动态双模网络分析时间模块度分析时序多重网络分析

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