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	多重ネットワーク分析	Betweenness Centrality
分野	ネットワーク分析	ネットワーク分析
系統	Machine learning	Machine learning
提唱年	2014	1977
提唱者	Kivela, M.; Boccaletti, S. et al.	Freeman, L. C.
種類	Structural network model	Centrality measure
原典	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.	Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41.
別名	multiplex networks, multi-layer network analysis, multilayer network analysis, MNA	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
関連	6	6
概要	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.	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.