Сравнение методов

	Многослойный двухрежимный сетевой анализ	Обнаружение многослойных сообществ
Область	Сетевой анализ	Сетевой анализ
Семейство	Machine learning	Machine learning
Год появления	2010s (synthesis of two-mode and multilayer frameworks)	2010–2014
Автор метода	Kivela et al. (multilayer); Borgatti & Everett (two-mode foundations)	Mucha, P. J. et al.; Kivela, M. et al.
Тип	Network analysis framework	Community detection algorithm for multilayer networks
Основополагающий источник	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.	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	multilayer bipartite network analysis, multi-layer two-mode network, multiplex bipartite network analysis, ML-TMNA	multilayer clustering, multiplex community detection, cross-layer community detection, MCD
Связанные	6	5
Сводка	Multilayer two-mode network analysis extends bipartite (two-mode) network analysis to settings where actors and artifacts — people and publications, firms and markets, genes and diseases — are connected across multiple distinct relationship layers or time slices simultaneously. It captures how dual-membership structures evolve, overlap, or interact across contexts that a single-layer bipartite graph cannot represent.	Multilayer community detection identifies groups of nodes that are densely connected across multiple types of relationships simultaneously. By coupling layers of a network — such as friendship, advice, and collaboration ties — it finds communities that are coherent not just within one relation type but across all of them, revealing structure that single-layer analysis would miss.