Comparer des méthodes

	Centralité de degré multicouche	Centralité de degré
Domaine	Analyse de réseaux	Analyse de réseaux
Famille	Machine learning	Machine learning
Année d'origine	2013–2014	1978
Auteur d'origine	Kivelä, M.; De Domenico, M. et al.	Freeman, L. C.
Type	Centrality measure for multilayer networks	Node-level centrality measure
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.	Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.
Alias	multilayer degree, multiplex degree centrality, overlapping-layer degree centrality, MDC	node degree, degree score, DC, connectivity centrality
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.	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.