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Središnja svojstva stupnja×Težinska centralnost stupnja×
PodručjeAnaliza mrežaAnaliza mreža
ObiteljMachine learningMachine learning
Godina nastanka19782004
TvoracFreeman, L. C.Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.
VrstaNode-level centrality measureCentrality measure for weighted networks
Temeljni izvorFreeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239. DOI ↗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. DOI ↗
Drugi nazivinode degree, degree score, DC, connectivity centralitynode strength, strength centrality, weighted node degree, WDC
Srodne66
SažetakDegree 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.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.
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ScholarGateUsporedite metode: Degree Centrality · Weighted Degree Centrality. Preuzeto 2026-06-19 s https://scholargate.app/hr/compare