Machine learningNetwork science
时态社群检测
时态社群检测旨在识别网络中结构随时间变化的内聚群体（社群）。通过将每个时间快照视为一个网络层并耦合连续的层，它可以揭示社群如何形成、合并、分裂、增长或消散——将一系列静态快照转化为群体演化的连续叙事。
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Method map
The neighbourhood of related methods — select a node to explore.
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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 ↗
- Rossetti, G., & Cazabet, R. (2018). Community discovery in dynamic networks: A survey. ACM Computing Surveys, 51(2), 1–37. DOI: 10.1145/3172867 ↗
如何引用本页
ScholarGate. (2026, June 3). Temporal Community Detection in Dynamic Networks. ScholarGate. https://scholargate.app/zh/network-analysis/temporal-community-detection
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 有向社区检测网络分析↔ compare
- 模块度分析网络分析↔ compare
- 多层网络分析网络分析↔ compare
- 社会网络分析网络分析↔ compare
- 时间网络分析网络分析↔ compare
- 加权社区检测网络分析↔ compare