Machine learningNetwork science
多层随机块模型
多层随机块模型 (ML-SBM) 是一个生成概率框架，它将经典的随机块模型扩展到具有多种关系类型或层的网络。它同时推断所有层中的社区结构和块间连接概率，捕捉社区如何根据上下文或关系类型以不同的方式凝聚。
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来源
- Peixoto, T. P. (2015). Inferring the mesoscale structure of layered, edge-valued, and time-varying networks. Physical Review E, 92(4), 042807. DOI: 10.1103/PhysRevE.92.042807 ↗
- De Bacco, C., Power, E. A., Larremore, D. B., & Moore, C. (2017). Community detection, link prediction, and layer interdependence in multilayer networks. Physical Review E, 95(4), 042317. DOI: 10.1103/PhysRevE.95.042317 ↗
如何引用本页
ScholarGate. (2026, June 3). Multilayer Stochastic Block Model (ML-SBM). ScholarGate. https://scholargate.app/zh/network-analysis/multilayer-stochastic-block-model
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