Comparer des méthodes

	Centralité de proximité	Centralité d'intermédiarité
Domaine	Analyse de réseaux	Analyse de réseaux
Famille	Machine learning	Machine learning
Année d'origine	1950 (formalized 1979)	1977
Auteur d'origine	Bavelas, A.; formalized by Freeman, L. C.	Freeman, L. C.
Type	Node-level centrality index	Centrality measure
Source fondatrice	Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.	Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41.
Alias	closeness, farness-based centrality, geodesic closeness, normalized closeness centrality	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
Apparentées	6	6
Résumé	Closeness centrality measures how quickly a node can reach all others in a network by computing the inverse of its average shortest-path distance to every other node. First described by Bavelas (1950) and formally unified by Freeman (1979), it identifies nodes that can spread information or resources efficiently across the entire graph — not merely nodes with many direct contacts.	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.