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Analýza vážených sociálních sítí×Sociální síťová analýza×
OborAnalýza sítíAnalýza sítí
RodinaMachine learningMachine learning
Rok vzniku2004–20101934 (sociometry); 1994 (modern formalization)
TvůrceBarrat, A.; Opsahl, T. et al.Moreno, J.L.; formalized by Wasserman & Faust
TypNetwork analysis frameworkStructural/relational analysis framework
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 ↗Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Další názvyWeighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysisSNA, network analysis, sociometric analysis, relational analysis
Příbuzné65
ShrnutíWeighted 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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ScholarGatePorovnat metody: Weighted Social Network Analysis · Social Network Analysis. Získáno 2026-06-18 z https://scholargate.app/cs/compare