Methoden vergleichen

	Gewichtete Gradzentralität	Gradzentralität
Fachgebiet	Netzwerkanalyse	Netzwerkanalyse
Familie	Machine learning	Machine learning
Entstehungsjahr	2004	1978
Urheber	Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.	Freeman, L. C.
Typ	Centrality measure for weighted networks	Node-level centrality measure
Wegweisende Quelle	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.
Aliasnamen	node strength, strength centrality, weighted node degree, WDC	node degree, degree score, DC, connectivity centrality
Verwandt	6	6
Zusammenfassung	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.