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Analyse av rettede multiple nettverk×Rettet samfunnsdeteksjon×
FagfeltNettverksanalyseNettverksanalyse
FamilieMachine learningMachine learning
Opprinnelsesår2013–20142008
OpphavspersonKivela, M.; De Domenico, M. et al.Leicht, E. A. & Newman, M. E. J.; Rosvall, M. & Bergstrom, C. T.
TypeMulti-layer directed graph frameworkGraph partitioning / modularity optimization
Opprinnelig kildeKivela, 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 ↗Leicht, E. A. & Newman, M. E. J. (2008). Community structure in directed networks. Physical Review Letters, 100(11), 118703. DOI ↗
Aliasdirected multilayer network analysis, directed multiplex graphs, asymmetric multiplex network analysis, DMNAdirected graph clustering, community detection in digraphs, directed modularity optimization, directed network partitioning
Relaterte66
SammendragDirected 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.Directed community detection identifies densely interconnected groups of nodes in a directed network, accounting for the asymmetry of edges (e.g., A follows B does not imply B follows A). Adapting modularity or flow-based criteria to directed graphs reveals clusters that undirected methods systematically miss, making it essential for citation networks, follower graphs, and biological regulatory pathways.
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ScholarGateSammenlign metoder: Directed Multiplex Network Analysis · Directed Community Detection. Hentet 2026-06-17 fra https://scholargate.app/no/compare