方法证据记录
Bayesian Two-Mode Network Analysis
Bayesian two-mode network analysis applies probabilistic Bayesian inference to bipartite (two-mode) networks — graphs linking two distinct sets of nodes such as actors and events, authors and papers, or consumers and products. By placing priors over tie probabilities and structural parameters, analysts obtain uncertainty estimates around centrality, community membership, and projection metrics rather than single-point estimates.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Bayesian Two-Mode (Bipartite) Network Analysis
分类方法记录 · ml-model / network-analysis
- 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
- 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
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