Machine learningNetwork science
贝叶斯时间网络分析
贝叶斯时间网络分析将概率贝叶斯推断与按时间排序的关系数据相结合，以模拟网络结构如何演变，量化结构估计的不确定性，并对未来连接模式做出原则性预测。它为边概率和社群分配提供可信区间，而非裸露的点估计。
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来源
- Hanneke, S., Fu, W., & Xing, E. P. (2010). Discrete temporal models of social networks. Electronic Journal of Statistics, 4, 585–605. DOI: 10.1214/09-EJS548 ↗
- Peixoto, T. P. (2017). Nonparametric Bayesian inference of the microcanonical stochastic block model. Physical Review E, 95(1), 012317. DOI: 10.1103/PhysRevE.95.012317 ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Inference for Temporal Network Analysis. ScholarGate. https://scholargate.app/zh/network-analysis/bayesian-temporal-network-analysis
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