Сравнение на методи

	Централност на претеглена степен	Централност по степен
Област	Мрежови анализ	Мрежови анализ
Семейство	Machine learning	Machine learning
Година на възникване	2004	1978
Създател	Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.	Freeman, L. C.
Тип	Centrality measure for weighted networks	Node-level centrality measure
Основополагащ източник	Barrat, A., Barthélemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747–3752.	Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.
Други названия	node strength, strength centrality, weighted node degree, WDC	node degree, degree score, DC, connectivity centrality
Свързани	6	6
Резюме	Weighted degree centrality — also called node strength — extends the classic degree centrality measure to networks whose edges carry numeric weights. Instead of simply counting a node's connections, it sums the weights of all edges incident to that node, capturing both the volume and the intensity of a node's ties in a single, interpretable score.	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.