Comparer des méthodes

	Centralité de degré	Centralité d'intermédiarité
Domaine	Analyse de réseaux	Analyse de réseaux
Famille	Machine learning	Machine learning
Année d'origine	1978	1977
Auteur d'origine	Freeman, L. C.	Freeman, L. C.
Type	Node-level centrality measure	Centrality measure
Source fondatrice	Freeman, L. C. (1978). 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	node degree, degree score, DC, connectivity centrality	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
Apparentées	6	6
Résumé	Degree 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.