Machine learningNetwork science
贝叶斯多层网络分析
贝叶斯多层网络分析将概率生成模型应用于同时承载多种关系类型（如同一组参与者之间的友谊、合作和沟通链接）的网络。通过对社群成员、边概率和层间依赖性设置先验，该框架产生后验分布而非点估计，从而支持对所有推断出的网络属性进行原则性的不确定性量化。
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来源
- 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 ↗
- Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203-271. DOI: 10.1093/comnet/cnu016 ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Multiplex Network Analysis (Probabilistic Inference on Multi-Layer Networks). ScholarGate. https://scholargate.app/zh/network-analysis/bayesian-multiplex-network-analysis
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