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Vážená decentrální míra stupně×Stupeň centrality×
OborAnalýza sítíAnalýza sítí
RodinaMachine learningMachine learning
Rok vzniku20041978
TvůrceBarrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.Freeman, L. C.
TypCentrality measure for weighted networksNode-level centrality measure
Původní zdrojBarrat, 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 ↗
Další názvynode strength, strength centrality, weighted node degree, WDCnode degree, degree score, DC, connectivity centrality
Příbuzné66
ShrnutíWeighted 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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ScholarGatePorovnat metody: Weighted Degree Centrality · Degree Centrality. Získáno 2026-06-18 z https://scholargate.app/cs/compare