So sánh phương pháp

	Độ tập trung bậc theo thời gian	Độ trung tâm bậc (Degree Centrality)
Lĩnh vực	Phân tích mạng lưới	Phân tích mạng lưới
Họ	Machine learning	Machine learning
Năm ra đời	2011–2012	1978
Người khởi xướng	Holme, P.; Saramaki, J.; Kim, H.; Anderson, R.	Freeman, L. C.
Loại	Centrality measure (temporal extension)	Node-level centrality measure
Công trình gốc	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.
Tên gọi khác	time-varying degree centrality, dynamic degree centrality, temporal node degree, TDC	node degree, degree score, DC, connectivity centrality
Liên quan	6	6
Tóm tắt	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.