Usporedite metode

	Vremenska centralnost po stupnju	Središnja svojstva stupnja
Područje	Analiza mreža	Analiza mreža
Obitelj	Machine learning	Machine learning
Godina nastanka	2011–2012	1978
Tvorac	Holme, P.; Saramaki, J.; Kim, H.; Anderson, R.	Freeman, L. C.
Vrsta	Centrality measure (temporal extension)	Node-level centrality measure
Temeljni izvor	Holme, P. & Saramaki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125.	Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.
Drugi nazivi	time-varying degree centrality, dynamic degree centrality, temporal node degree, TDC	node degree, degree score, DC, connectivity centrality
Srodne	6	6
Sažetak	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.	Degree centrality is the simplest and most intuitive measure of a node's importance in a network, defined as the number of direct ties a node has to other nodes. Normalized by dividing by the maximum possible ties, it allows comparison across networks of different sizes and is the starting point of almost every network analysis.