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Πολυεπίπεδη Κεντρικότητα Παρεμβολής×Μετακεντρικότητα×
ΠεδίοΑνάλυση ΔικτύωνΑνάλυση Δικτύων
ΟικογένειαMachine learningMachine learning
Έτος προέλευσης2013–20141977
ΔημιουργόςDe Domenico, M.; Kivelä, M.; Arenas, A. et al.Freeman, L. C.
ΤύποςCentrality measure (multilayer extension)Centrality measure
Θεμελιώδης πηγήDe 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. DOI ↗Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41. DOI ↗
Εναλλακτικές ονομασίεςMBC, multilayer geodesic betweenness, tensorial betweenness centrality, interlayer betweenness centralityFreeman betweenness, BC, geodesic betweenness, shortest-path betweenness
Συναφείς56
ΣύνοψηMultilayer 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.
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ScholarGateΣύγκριση μεθόδων: Multilayer Betweenness Centrality · Betweenness Centrality. Ανακτήθηκε στις 2026-06-17 από https://scholargate.app/el/compare