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TieteenalaVerkostoanalyysiVerkostoanalyysi
MenetelmäperheMachine learningMachine learning
Syntyvuosi19781977
KehittäjäFreeman, L. C.Freeman, L. C.
TyyppiNode-level centrality measureCentrality measure
AlkuperäislähdeFreeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239. DOI ↗Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41. DOI ↗
Rinnakkaisnimetnode degree, degree score, DC, connectivity centralityFreeman betweenness, BC, geodesic betweenness, shortest-path betweenness
Liittyvät66
TiivistelmäDegree centrality is the simplest and most intuitive measure of a node's importance in a network, defined as the number of direct ties a node has to other nodes. Normalized by dividing by the maximum possible ties, it allows comparison across networks of different sizes and is the starting point of almost every network analysis.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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ScholarGateVertaile menetelmiä: Degree Centrality · Betweenness Centrality. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare