Methoden vergleichen

	Mehrschichtige Betweenness-Zentralität	Betweenness-Zentralität
Fachgebiet	Netzwerkanalyse	Netzwerkanalyse
Familie	Machine learning	Machine learning
Entstehungsjahr	2013–2014	1977
Urheber	De Domenico, M.; Kivelä, M.; Arenas, A. et al.	Freeman, L. C.
Typ	Centrality measure (multilayer extension)	Centrality measure
Wegweisende Quelle	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.
Aliasnamen	MBC, multilayer geodesic betweenness, tensorial betweenness centrality, interlayer betweenness centrality	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
Verwandt	5	6
Zusammenfassung	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.