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Analiza usmjerenih multipleksnih mreža×Višeslojna analiza društvenih mreža×
PodručjeAnaliza mrežaAnaliza mreža
ObiteljMachine learningMachine learning
Godina nastanka2013–20142014
TvoracKivela, M.; De Domenico, M. et al.Kivela, M.; Boccaletti, S. et al.
VrstaMulti-layer directed graph frameworkStructural 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 nazividirected multilayer network analysis, directed multiplex graphs, asymmetric multiplex network analysis, DMNAMSNA, multiplex network analysis, multilayer network analysis, interconnected network analysis
Srodne66
SažetakDirected multiplex network analysis models systems where the same set of nodes are connected by multiple types of directed (asymmetric) relationships across distinct layers — such as citation flows, information cascades, or authority hierarchies co-existing simultaneously. It extends multiplex network analysis by preserving both layer identity and edge directionality, enabling richer structural and dynamic insights.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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ScholarGateUsporedite metode: Directed Multiplex Network Analysis · Multilayer Social Network Analysis. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare