方法证据记录
Bayesian Social Network Analysis
Bayesian Social Network Analysis applies Bayesian probabilistic inference to relational data, placing prior distributions over network parameters and updating them with observed tie data to yield full posterior distributions over structural features, tie probabilities, and latent actor positions. It enables principled uncertainty quantification in network models, making it especially valuable when data are sparse, partially observed, or subject to measurement error.
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 Social Network Analysis (Probabilistic Network Modeling)
分类方法记录 · ml-model / network-analysis
- Hoff, P. D., Raftery, A. E., & Handcock, M. S. (2002). Latent space approaches to social network analysis. Journal of the American Statistical Association, 97(460), 1090–1098. · DOI 10.1198/016214502388618906
- Bayesian network. Wikipedia. · URL
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