Comparer des méthodes

	Centralité de degré multicouche	Centralité de degré pondéré
Domaine	Analyse de réseaux	Analyse de réseaux
Famille	Machine learning	Machine learning
Année d'origine	2013–2014	2004
Auteur d'origine	Kivelä, M.; De Domenico, M. et al.	Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.
Type	Centrality measure for multilayer networks	Centrality measure for weighted networks
Source fondatrice	Kivelä, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271.	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.
Alias	multilayer degree, multiplex degree centrality, overlapping-layer degree centrality, MDC	node strength, strength centrality, weighted node degree, WDC
Apparentées	6	6
Résumé	Multilayer degree centrality extends the classic degree centrality measure to networks composed of multiple layers — such as networks representing different types of social ties, communication channels, or relationship contexts simultaneously. It quantifies how many connections a node has across one or all layers, revealing nodes that are influential not just in a single context but across the entire multi-relational structure.	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.