השוואת שיטות

	ניתוח רשתות דו-מצבי בייסיאני	ניתוח רשתות דו-מודאליות
תחום	ניתוח רשתות	ניתוח רשתות
משפחה	Machine learning	Machine learning
שנת המקור	1997–2010s	1974
הוגה השיטה	Borgatti & Everett (two-mode SNA); Bayesian extensions by multiple authors	Breiger, R. L.
סוג	Probabilistic network model	Bipartite graph analysis
מקור מכונן	Borgatti, S. P., & Everett, M. G. (1997). Network analysis of 2-mode data. Social Networks, 19(3), 243–269.	Breiger, R. L. (1974). The duality of persons and groups. Social Forces, 53(2), 181–190.
כינויים	Bayesian bipartite network analysis, probabilistic two-mode network analysis, Bayesian affiliation network analysis, Bayesian two-mode SNA	bipartite network analysis, affiliation network analysis, two-mode SNA, dual-projection network analysis
קשורות	5	5
תקציר	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.	Two-mode network analysis examines networks built from two distinct types of nodes — such as actors and events, authors and papers, or companies and board members — connected only across types. By analysing this bipartite structure directly or projecting it onto one-mode networks, researchers uncover affiliation patterns, shared memberships, and structural duality that are invisible in standard one-mode social network analysis.