Methoden vergelijken

	Temporale Betweenness Centraliteit	Betweenness Centrality
Vakgebied	Netwerkanalyse	Netwerkanalyse
Familie	Machine learning	Machine learning
Jaar van ontstaan	2012	1977
Grondlegger	Kim, H. & Anderson, R.; Holme, P. & Saramäki, J.	Freeman, L. C.
Type	Centrality measure for temporal networks	Centrality measure
Oorspronkelijke bron	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.
Aliassen	TBC, time-varying betweenness centrality, dynamic betweenness centrality, time-respecting betweenness	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
Verwant	6	6
Samenvatting	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.	Betweenness centrality, formalized by Linton C. Freeman in 1977, measures how often a node lies on the shortest path connecting every other pair of nodes in a network. High-betweenness nodes act as bridges or brokers: removing them fragments the network into disconnected components more severely than removing any other nodes.