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خانوادهMachine learningMachine learning
سال پیدایش2013–20141977
پدیدآورKivela, M.; De Domenico, M. et al.Freeman, L. C.
نوعMulti-layer directed graph frameworkCentrality measure (directed graph)
منبع بنیادینKivela, 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 ↗Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41. DOI ↗
نام‌های دیگرdirected multilayer network analysis, directed multiplex graphs, asymmetric multiplex network analysis, DMNAdirected BC, digraph betweenness, asymmetric betweenness centrality, directed Freeman betweenness
مرتبط65
خلاصهDirected 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 Betweenness Centrality extends Freeman's classic betweenness measure to directed graphs, quantifying how often a node lies on the shortest directed paths between all other pairs of nodes. It identifies gatekeepers, brokers, and bottlenecks in asymmetric flows such as information cascades, citation networks, and organizational hierarchies.
ScholarGateمجموعه‌داده
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  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Directed Multiplex Network Analysis · Directed Betweenness Centrality. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare