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Krackhardt Hierarchy Measures×Sociální síťová analýza×
OborSociologyAnalýza sítí
RodinaProcess / pipelineMachine learning
Rok vzniku19941934 (sociometry); 1994 (modern formalization)
TvůrceDavid KrackhardtMoreno, J.L.; formalized by Wasserman & Faust
TypSet of four graph-theoretic indices of how hierarchical a network isStructural/relational analysis framework
Původní zdrojKrackhardt, D. (1994). Graph theoretical dimensions of informal organizations. In K. M. Carley & M. J. Prietula (Eds.), Computational Organization Theory (pp. 89–111). Lawrence Erlbaum Associates. DOI ↗Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Další názvyKrackhardt GTD, graph-theoretic dimensions of hierarchy, Krackhardt connectedness-hierarchy-efficiency-LUB, out-tree hierarchy measuresSNA, network analysis, sociometric analysis, relational analysis
Příbuzné55
ShrnutíKrackhardt's graph-theoretic dimensions provide four indices that together measure how closely a directed network approximates a pure hierarchy — formally, an out-tree. The dimensions are connectedness (is everyone linked?), hierarchy (are ties asymmetric, i.e., non-reciprocated?), efficiency (are there no redundant ties?), and least upper bound (does every pair share a common superior?). Each is scaled from 0 to 1, and a network scoring 1 on all four is a perfect hierarchy.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: Krackhardt Hierarchy Measures · Social Network Analysis. Získáno 2026-06-24 z https://scholargate.app/cs/compare