Linganisha mbinu

	Ukuu wa Shahada ya Muda	Uwakilishi wa Kati wa Kitambo (Temporal Betweenness Centrality)
Nyanja	Uchanganuzi wa Mitandao	Uchanganuzi wa Mitandao
Familia	Machine learning	Machine learning
Mwaka wa asili	2011–2012	2012
Mwanzilishi	Holme, P.; Saramaki, J.; Kim, H.; Anderson, R.	Kim, H. & Anderson, R.; Holme, P. & Saramäki, J.
Aina	Centrality measure (temporal extension)	Centrality measure for temporal networks
Chanzo asilia	Holme, P. & Saramaki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125.	Holme, P., & Saramäki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125.
Majina mbadala	time-varying degree centrality, dynamic degree centrality, temporal node degree, TDC	TBC, time-varying betweenness centrality, dynamic betweenness centrality, time-respecting betweenness
Zinazohusiana	6	6
Muhtasari	Temporal degree centrality extends the classic degree centrality to time-varying networks by counting how many distinct contacts a node accumulates over time. Rather than collapsing a dynamic network into a single static graph, it preserves the temporal order of edges, yielding a more faithful measure of a node's activity and reachability across the observation window.	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.