Methoden vergelijken

	Multilayer Betweenness Centrality	Betweenness Centrality
Vakgebied	Netwerkanalyse	Netwerkanalyse
Familie	Machine learning	Machine learning
Jaar van ontstaan	2013–2014	1977
Grondlegger	De Domenico, M.; Kivelä, M.; Arenas, A. et al.	Freeman, L. C.
Type	Centrality measure (multilayer extension)	Centrality measure
Oorspronkelijke bron	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.
Aliassen	MBC, multilayer geodesic betweenness, tensorial betweenness centrality, interlayer betweenness centrality	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
Verwant	5	6
Samenvatting	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.