قارن الطرق

	مركزية البينونة متعددة الطبقات	مركزية البينونة
المجال	تحليل الشبكات	تحليل الشبكات
العائلة	Machine learning	Machine learning
سنة النشأة	2013–2014	1977
صاحب الطريقة	De Domenico, M.; Kivelä, M.; Arenas, A. et al.	Freeman, L. C.
النوع	Centrality measure (multilayer extension)	Centrality measure
المصدر التأسيسي	De Domenico, M., Solé-Ribalta, A., Cozzo, E., Kivelä, M., Moreno, Y., Porter, M. A., Gómez, S., & Arenas, A. (2013). Mathematical formulation of multilayer networks. Physical Review X, 3(4), 041022.	Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41.
الأسماء البديلة	MBC, multilayer geodesic betweenness, tensorial betweenness centrality, interlayer betweenness centrality	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
ذات صلة	5	6
الملخص	Multilayer betweenness centrality extends the classical betweenness measure to networks with multiple types of relationships — or layers — by computing how often a node lies on shortest paths that can traverse any layer or switch between layers. It identifies brokers and bridges whose influence spans distinct interaction domains simultaneously.	Betweenness centrality, formalized by Linton C. Freeman in 1977, measures how often a node lies on the shortest path connecting every other pair of nodes in a network. High-betweenness nodes act as bridges or brokers: removing them fragments the network into disconnected components more severely than removing any other nodes.