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贝叶斯双模网络分析

贝叶斯双模网络分析将概率贝叶斯推断应用于二分(双模)网络——即连接两组不同节点(如行动者与事件、作者与论文、消费者与产品)的图。通过对连接概率和结构参数设置先验,分析师可以获得中心性、社群成员身份和投影指标的不确定性估计,而非单一的点估计。

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来源

  1. Borgatti, S. P., & Everett, M. G. (1997). Network analysis of 2-mode data. Social Networks, 19(3), 243–269. DOI: 10.1016/S0378-8733(96)00301-2
  2. Latouche, P., Birmele, E., & Ambroise, C. (2011). Overlapping stochastic block models with application to the French political blogosphere. Annals of Applied Statistics, 5(1), 309–336. DOI: 10.1214/10-AOAS382

如何引用本页

ScholarGate. (2026, June 3). Bayesian Two-Mode (Bipartite) Network Analysis. ScholarGate. https://scholargate.app/zh/network-analysis/bayesian-two-mode-network-analysis

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ScholarGateBayesian Two-Mode Network Analysis (Bayesian Two-Mode (Bipartite) Network Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/network-analysis/bayesian-two-mode-network-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026