Comparer des méthodes

	Analyse de réseaux bipartis (ou à deux modes) multicouches	Analyse des réseaux sociaux
Domaine	Analyse de réseaux	Analyse de réseaux
Famille	Machine learning	Machine learning
Année d'origine	2010s (synthesis of two-mode and multilayer frameworks)	1934 (sociometry); 1994 (modern formalization)
Auteur d'origine	Kivela et al. (multilayer); Borgatti & Everett (two-mode foundations)	Moreno, J.L.; formalized by Wasserman & Faust
Type	Network analysis framework	Structural/relational analysis framework
Source fondatrice	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.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Alias	multilayer bipartite network analysis, multi-layer two-mode network, multiplex bipartite network analysis, ML-TMNA	SNA, network analysis, sociometric analysis, relational analysis
Apparentées	6	5
Résumé	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.	Social Network Analysis (SNA) is a structural method that maps and measures relationships and flows between people, groups, organizations, or other entities modeled as nodes connected by ties (edges). Rather than focusing on individual attributes, SNA reveals how the pattern of connections shapes behavior, influence, information flow, and outcomes within a system.