قارن الطرق

	مركزية البينونة الزمنية	مركزية البينية الموجهة
المجال	تحليل الشبكات	تحليل الشبكات
العائلة	Machine learning	Machine learning
سنة النشأة	2012	1977
صاحب الطريقة	Kim, H. & Anderson, R.; Holme, P. & Saramäki, J.	Freeman, L. C.
النوع	Centrality measure for temporal networks	Centrality measure (directed graph)
المصدر التأسيسي	Holme, P., & Saramäki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125.	Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41.
الأسماء البديلة	TBC, time-varying betweenness centrality, dynamic betweenness centrality, time-respecting betweenness	directed BC, digraph betweenness, asymmetric betweenness centrality, directed Freeman betweenness
ذات صلة	6	5
الملخص	Temporal Betweenness Centrality (TBC) extends classical betweenness centrality to time-stamped networks by counting how often a node lies on time-respecting shortest paths — paths that traverse edges in chronological order. It identifies nodes that act as temporal brokers, controlling information or resource flow as it evolves over time, rather than in a static snapshot.	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.