Σύγκριση μεθόδων

	Σταθμισμένη Κεντρικότητα Βαθμού	Ανάλυση Κοινωνικών Δικτύων
Πεδίο	Ανάλυση Δικτύων	Ανάλυση Δικτύων
Οικογένεια	Machine learning	Machine learning
Έτος προέλευσης	2004	1934 (sociometry); 1994 (modern formalization)
Δημιουργός	Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.	Moreno, J.L.; formalized by Wasserman & Faust
Τύπος	Centrality measure for weighted networks	Structural/relational analysis framework
Θεμελιώδης πηγή	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
Εναλλακτικές ονομασίες	node strength, strength centrality, weighted node degree, WDC	SNA, network analysis, sociometric analysis, relational analysis
Συναφείς	6	5
Σύνοψη	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.