เปรียบเทียบวิธี

	การวิเคราะห์เครือข่ายหลายชั้นแบบมีทิศทาง	Directed Betweenness Centrality
สาขาวิชา	การวิเคราะห์เครือข่าย	การวิเคราะห์เครือข่าย
ตระกูล	Machine learning	Machine learning
ปีกำเนิด	2013–2014	1977
ผู้ริเริ่ม	Kivela, M.; De Domenico, M. et al.	Freeman, L. C.
ประเภท	Multi-layer directed graph framework	Centrality measure (directed graph)
แหล่งต้นตำรับ	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.
ชื่อเรียกอื่น	directed multilayer network analysis, directed multiplex graphs, asymmetric multiplex network analysis, DMNA	directed BC, digraph betweenness, asymmetric betweenness centrality, directed Freeman betweenness
ที่เกี่ยวข้อง	6	5
สรุป	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.