Process / pipeline
随机块模型——网络中的概率社区检测
随机块模型（Stochastic Block Model, SBM）由 Holland, Laskey 和 Leinhardt 于 1983 年提出，是一种图的概率生成模型，它将节点分配给潜在的块，并参数化估计块之间的连接概率。它是社区检测、核心-边缘识别和网络分析中层次结构发现的基础方法。
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来源
- Holland, P.W., Laskey, K.B. & Leinhardt, S. (1983). Stochastic Blockmodels: First Steps. Social Networks, 5(2), 109-137. DOI: 10.1016/0378-8733(83)90021-7 ↗
- Lee, C. & Wilkinson, D.J. (2019). A Review of Stochastic Block Models and Extensions for Graph Clustering. Applied Network Science, 4(1), 122. DOI: 10.1007/s41109-019-0232-2 ↗
如何引用本页
ScholarGate. (2026, June 1). Stochastic Block Model (SBM). ScholarGate. https://scholargate.app/zh/network-analysis/stochastic-block-model
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