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Analisis Rangkaian Multiplex Terarah×Analisis Rangkaian Berbilang Lapisan×
BidangAnalisis RangkaianAnalisis Rangkaian
KeluargaMachine learningMachine learning
Tahun asal2013–20142014
PengasasKivela, M.; De Domenico, M. et al.Kivela, M.; Boccaletti, S. et al.
JenisMulti-layer directed graph frameworkStructural network model
Sumber perintisKivela, 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 ↗
Aliasdirected multilayer network analysis, directed multiplex graphs, asymmetric multiplex network analysis, DMNAmultiplex networks, multi-layer network analysis, multilayer network analysis, MNA
Berkaitan66
RingkasanDirected 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.Multiplex network analysis studies systems where the same set of nodes is connected by multiple distinct types of relationships, each represented as a separate network layer. By analyzing layers simultaneously rather than in isolation, it reveals how different relation types interact, reinforce each other, or compensate for one another across the same actors or entities.
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ScholarGateBandingkan kaedah: Directed Multiplex Network Analysis · Multiplex Network Analysis. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare