Comparer des méthodes

	Centralité de degré pondéré	Centralité de degré
Domaine	Analyse de réseaux	Analyse de réseaux
Famille	Machine learning	Machine learning
Année d'origine	2004	1978
Auteur d'origine	Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.	Freeman, L. C.
Type	Centrality measure for weighted networks	Node-level centrality measure
Source fondatrice	Barrat, A., Barthélemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747–3752.	Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.
Alias	node strength, strength centrality, weighted node degree, WDC	node degree, degree score, DC, connectivity centrality
Apparentées	6	6
Résumé	Weighted degree centrality — also called node strength — extends the classic degree centrality measure to networks whose edges carry numeric weights. Instead of simply counting a node's connections, it sums the weights of all edges incident to that node, capturing both the volume and the intensity of a node's ties in a single, interpretable score.	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.