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ΠεδίοΑνάλυση ΔικτύωνΑνάλυση Δικτύων
ΟικογένειαMachine learningMachine learning
Έτος προέλευσης19771972
ΔημιουργόςFreeman, L. C.Bonacich, P.
ΤύποςCentrality measureCentrality measure
Θεμελιώδης πηγήFreeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41. DOI ↗Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identification. Journal of Mathematical Sociology, 2(1), 113–120. DOI ↗
Εναλλακτικές ονομασίεςFreeman betweenness, BC, geodesic betweenness, shortest-path betweennesseigenvector centrality, EC, Bonacich centrality, power centrality
Συναφείς66
ΣύνοψηBetweenness 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.Eigenvector centrality, introduced by Bonacich in 1972, measures a node's influence by considering not just how many neighbors it has, but how influential those neighbors are. A node scores highly if it is connected to other high-scoring nodes, making it a recursive, globally-aware measure of structural importance in a network.
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ScholarGateΣύγκριση μεθόδων: Betweenness Centrality · Eigenvector Centrality. Ανακτήθηκε στις 2026-06-15 από https://scholargate.app/el/compare