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Težinska centralnost stupnja×Središnja svojstva stupnja×
PodručjeAnaliza mrežaAnaliza mreža
ObiteljMachine learningMachine learning
Godina nastanka20041978
TvoracBarrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.Freeman, L. C.
VrstaCentrality measure for weighted networksNode-level centrality measure
Temeljni izvorBarrat, 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 ↗Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239. DOI ↗
Drugi nazivinode strength, strength centrality, weighted node degree, WDCnode degree, degree score, DC, connectivity centrality
Srodne66
SažetakWeighted 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.
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ScholarGateUsporedite metode: Weighted Degree Centrality · Degree Centrality. Preuzeto 2026-06-19 s https://scholargate.app/hr/compare