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OblastAnaliza mrežaAnaliza mreža
PorodicaMachine learningMachine learning
Godina nastanka2004–20101934 (sociometry); 1994 (modern formalization)
TvoracBarrat, A.; Opsahl, T. et al.Moreno, J.L.; formalized by Wasserman & Faust
TipNetwork analysis frameworkStructural/relational analysis framework
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 ↗Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Drugi naziviWeighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysisSNA, network analysis, sociometric analysis, relational analysis
Srodne65
SažetakWeighted 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.Social Network Analysis (SNA) is a structural method that maps and measures relationships and flows between people, groups, organizations, or other entities modeled as nodes connected by ties (edges). Rather than focusing on individual attributes, SNA reveals how the pattern of connections shapes behavior, influence, information flow, and outcomes within a system.
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ScholarGateUporedite metode: Weighted Social Network Analysis · Social Network Analysis. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare