Σύγκριση μεθόδων

	Ανάλυση Δικτύων Πολλαπλών Επιπέδων Δύο Τρόπων	Ανάλυση Κοινωνικών Δικτύων
Πεδίο	Ανάλυση Δικτύων	Ανάλυση Δικτύων
Οικογένεια	Machine learning	Machine learning
Έτος προέλευσης	2010s (synthesis of two-mode and multilayer frameworks)	1934 (sociometry); 1994 (modern formalization)
Δημιουργός	Kivela et al. (multilayer); Borgatti & Everett (two-mode foundations)	Moreno, J.L.; formalized by Wasserman & Faust
Τύπος	Network analysis framework	Structural/relational analysis framework
Θεμελιώδης πηγή	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
Εναλλακτικές ονομασίες	multilayer bipartite network analysis, multi-layer two-mode network, multiplex bipartite network analysis, ML-TMNA	SNA, network analysis, sociometric analysis, relational analysis
Συναφείς	6	5
Σύνοψη	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.