Comparer des méthodes

	Centralité de degré	Centralité de proximité
Domaine	Analyse de réseaux	Analyse de réseaux
Famille	Machine learning	Machine learning
Année d'origine	1978	1950 (formalized 1979)
Auteur d'origine	Freeman, L. C.	Bavelas, A.; formalized by Freeman, L. C.
Type	Node-level centrality measure	Node-level centrality index
Source fondatrice	Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.	Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.
Alias	node degree, degree score, DC, connectivity centrality	closeness, farness-based centrality, geodesic closeness, normalized closeness centrality
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.	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.