Сравнение методов

	Взвешенный двумодальный сетевой анализ	Двухмодальный сетевой анализ
Область	Сетевой анализ	Сетевой анализ
Семейство	Machine learning	Machine learning
Год появления	1997 (two-mode); weighted extensions 2000s	1974
Автор метода	Borgatti, S. P. & Everett, M. G.	Breiger, R. L.
Тип	Network structural analysis	Bipartite graph analysis
Основополагающий источник	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.
Другие названия	weighted bipartite network analysis, valued two-mode network analysis, weighted affiliation network analysis, W2MNA	bipartite network analysis, affiliation network analysis, two-mode SNA, dual-projection network analysis
Связанные	6	5
Сводка	Weighted two-mode network analysis examines bipartite graphs in which two distinct node sets — such as actors and events, authors and papers, or species and habitats — are connected by edges carrying numerical weights that capture the strength, frequency, or intensity of each affiliation. Incorporating weights provides substantially richer structural insights than unweighted bipartite analysis.	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.