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Откривање вишеслојних заједница×Analiza višeslojnih društvenih mreža×
OblastAnaliza mrežaAnaliza mreža
PorodicaMachine learningMachine learning
Godina nastanka2010–20142014
TvoracMucha, P. J. et al.; Kivela, M. et al.Kivela, M.; Boccaletti, S. et al.
TipCommunity detection algorithm for multilayer networksStructural network analysis framework
Temeljni izvorKivela, 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 ↗
Drugi nazivimultilayer clustering, multiplex community detection, cross-layer community detection, MCDMSNA, multiplex network analysis, multilayer network analysis, interconnected network analysis
Srodne56
SažetakMultilayer 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.Multilayer social network analysis extends classical single-layer network methods to settings where actors are connected through multiple, distinct types of ties — such as friendship, professional collaboration, and online interaction — simultaneously. By modeling each type of relationship as a separate layer and explicitly representing connections across layers, it captures structural complexity that a single aggregated network would hide.
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ScholarGateUporedite metode: Multilayer Community Detection · Multilayer Social Network Analysis. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare