手法を比較

	多層媒介中心性 (Multilayer Betweenness Centrality)	多重ネットワーク分析
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	2013–2014	2014
提唱者	De Domenico, M.; Kivelä, M.; Arenas, A. et al.	Kivela, M.; Boccaletti, S. et al.
種類	Centrality measure (multilayer extension)	Structural network model
原典	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.	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.
別名	MBC, multilayer geodesic betweenness, tensorial betweenness centrality, interlayer betweenness centrality	multiplex networks, multi-layer network analysis, multilayer network analysis, MNA
関連	5	6
概要	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.	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.