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Mitmekihiline kahesüsteemne võrguanalüüs×Mitmekihiline kogukonnatuvastus×
ValdkondVõrgustikuanalüüsVõrgustikuanalüüs
PerekondMachine learningMachine learning
Tekkeaasta2010s (synthesis of two-mode and multilayer frameworks)2010–2014
LoojaKivela et al. (multilayer); Borgatti & Everett (two-mode foundations)Mucha, P. J. et al.; Kivela, M. et al.
TüüpNetwork analysis frameworkCommunity detection algorithm for multilayer networks
AlgallikasKivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271. DOI ↗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. DOI ↗
Rööpnimetusedmultilayer bipartite network analysis, multi-layer two-mode network, multiplex bipartite network analysis, ML-TMNAmultilayer clustering, multiplex community detection, cross-layer community detection, MCD
Seotud65
KokkuvõteMultilayer 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.
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ScholarGateVõrdle meetodeid: Multilayer Two-Mode Network Analysis · Multilayer Community Detection. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare