Сравнение методов

	Взвешенный двумодальный сетевой анализ	Анализ мультиплексных сетей
Область	Сетевой анализ	Сетевой анализ
Семейство	Machine learning	Machine learning
Год появления	1997 (two-mode); weighted extensions 2000s	2014
Автор метода	Borgatti, S. P. & Everett, M. G.	Kivela, M.; Boccaletti, S. et al.
Тип	Network structural analysis	Structural network model
Основополагающий источник	Borgatti, S. P., & Everett, M. G. (1997). Network analysis of 2-mode data. Social Networks, 19(3), 243–269.	Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271.
Другие названия	weighted bipartite network analysis, valued two-mode network analysis, weighted affiliation network analysis, W2MNA	multiplex networks, multi-layer network analysis, multilayer network analysis, MNA
Связанные	6	6
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.	Multiplex network analysis studies systems where the same set of nodes is connected by multiple distinct types of relationships, each represented as a separate network layer. By analyzing layers simultaneously rather than in isolation, it reveals how different relation types interact, reinforce each other, or compensate for one another across the same actors or entities.