পদ্ধতির তুলনা করুন

	বেয়েশীয় দ্বি-মোড নেটওয়ার্ক বিশ্লেষণ	বেয়েশীয় সামাজিক নেটওয়ার্ক বিশ্লেষণ
ক্ষেত্র	নেটওয়ার্ক বিশ্লেষণ	নেটওয়ার্ক বিশ্লেষণ
পরিবার	Machine learning	Machine learning
উদ্ভবের বছর	1997–2010s	2002
প্রবর্তক	Borgatti & Everett (two-mode SNA); Bayesian extensions by multiple authors	Hoff, P. D.; Raftery, A. E.; Handcock, M. S.
ধরন	Probabilistic network model	Probabilistic / Bayesian network model
মৌলিক উৎস	Borgatti, S. P., & Everett, M. G. (1997). Network analysis of 2-mode data. Social Networks, 19(3), 243–269.	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.
অপর নাম	Bayesian bipartite network analysis, probabilistic two-mode network analysis, Bayesian affiliation network analysis, Bayesian two-mode SNA	Bayesian SNA, Bayesian network modeling, probabilistic social network analysis, Bayesian relational modeling
সম্পর্কিত	5	5
সারসংক্ষেপ	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.	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.