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Analýza vážených sítí ega×Vážená decentrální míra stupně×
OborAnalýza sítíAnalýza sítí
RodinaMachine learningMachine learning
Rok vzniku1954–20022004
TvůrceBarnes, J. A.; Bott, E.; Marsden, P. V.Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.
TypEgo-centered network analysis with weighted tiesCentrality measure for weighted networks
Původní zdrojMarsden, P. V. (2002). Egocentric and sociocentric measures of network centrality. Social Networks, 24(4), 407–422. 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 ↗
Další názvyweighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysisnode strength, strength centrality, weighted node degree, WDC
Příbuzné66
ShrnutíWeighted ego network analysis examines the personal network of a focal actor (the ego) and incorporates tie strength — measured as interaction frequency, closeness, or resource exchange — as edge weights. By moving beyond simple presence or absence of a tie, it captures how much each relationship matters and how those varying strengths shape outcomes such as social support, information access, or influence.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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ScholarGatePorovnat metody: Weighted Ego Network Analysis · Weighted Degree Centrality. Získáno 2026-06-18 z https://scholargate.app/cs/compare