Comparer des méthodes

	Analyse de réseaux multiplex dirigés	Centralité de mellem-position dirigée
Domaine	Analyse de réseaux	Analyse de réseaux
Famille	Machine learning	Machine learning
Année d'origine	2013–2014	1977
Auteur d'origine	Kivela, M.; De Domenico, M. et al.	Freeman, L. C.
Type	Multi-layer directed graph framework	Centrality measure (directed graph)
Source fondatrice	Kivela, 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. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41.
Alias	directed multilayer network analysis, directed multiplex graphs, asymmetric multiplex network analysis, DMNA	directed BC, digraph betweenness, asymmetric betweenness centrality, directed Freeman betweenness
Apparentées	6	5
Résumé	Directed multiplex network analysis models systems where the same set of nodes are connected by multiple types of directed (asymmetric) relationships across distinct layers — such as citation flows, information cascades, or authority hierarchies co-existing simultaneously. It extends multiplex network analysis by preserving both layer identity and edge directionality, enabling richer structural and dynamic insights.	Directed Betweenness Centrality extends Freeman's classic betweenness measure to directed graphs, quantifying how often a node lies on the shortest directed paths between all other pairs of nodes. It identifies gatekeepers, brokers, and bottlenecks in asymmetric flows such as information cascades, citation networks, and organizational hierarchies.