Linganisha mbinu

	Ukuu wa Shahada ya Muda	Uchanganuzi wa Mitandao ya Kijamii ya Muda
Nyanja	Uchanganuzi wa Mitandao	Uchanganuzi wa Mitandao
Familia	Machine learning	Machine learning
Mwaka wa asili	2011–2012	2000s–2010s
Mwanzilishi	Holme, P.; Saramaki, J.; Kim, H.; Anderson, R.	Moody, J.; Holme, P.; Saramäki, J.
Aina	Centrality measure (temporal extension)	Longitudinal network analysis
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	TSNA, longitudinal social network analysis, time-varying network analysis, dynamic SNA
Zinazohusiana	6	4
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 Social Network Analysis (TSNA) extends classic social network analysis by treating networks as time-varying structures. Rather than aggregating all ties into a single static snapshot, TSNA tracks when ties form, persist, and dissolve, enabling researchers to study how social structures evolve and how dynamic connectivity shapes diffusion, influence, and inequality over time.