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Vážená analýza sociálnych sietí×Vážená miera centrality stupňa×
OdborAnalýza sietíAnalýza sietí
RodinaMachine learningMachine learning
Rok vzniku2004–20102004
TvorcaBarrat, A.; Opsahl, T. et al.Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.
TypNetwork analysis frameworkCentrality measure for weighted networks
Pôvodný 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 ↗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 ↗
Ďalšie názvyWeighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysisnode strength, strength centrality, weighted node degree, WDC
Príbuzné66
ZhrnutieWeighted Social Network Analysis extends classical SNA by assigning numeric values — weights — to ties between actors, capturing tie strength, interaction frequency, or resource flow. Rather than treating all connections as equal, it reveals who holds privileged positions by virtue of the intensity, not merely the existence, of their relationships.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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ScholarGatePorovnať metódy: Weighted Social Network Analysis · Weighted Degree Centrality. Získané 2026-06-19 z https://scholargate.app/sk/compare