Compară metode

	Centralitatea de grad ponderat	Analiza Rețelelor Sociale
Domeniu	Analiza rețelelor	Analiza rețelelor
Familie	Machine learning	Machine learning
Anul apariției	2004	1934 (sociometry); 1994 (modern formalization)
Autorul original	Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.	Moreno, J.L.; formalized by Wasserman & Faust
Tip	Centrality measure for weighted networks	Structural/relational analysis framework
Sursa seminală	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.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Denumiri alternative	node strength, strength centrality, weighted node degree, WDC	SNA, network analysis, sociometric analysis, relational analysis
Înrudite	6	5
Rezumat	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.	Social Network Analysis (SNA) is a structural method that maps and measures relationships and flows between people, groups, organizations, or other entities modeled as nodes connected by ties (edges). Rather than focusing on individual attributes, SNA reveals how the pattern of connections shapes behavior, influence, information flow, and outcomes within a system.