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Krackhardt Hierarchy Measures×Analiza Rețelelor Sociale×
DomeniuSociologyAnaliza rețelelor
FamilieProcess / pipelineMachine learning
Anul apariției19941934 (sociometry); 1994 (modern formalization)
Autorul originalDavid KrackhardtMoreno, J.L.; formalized by Wasserman & Faust
TipSet of four graph-theoretic indices of how hierarchical a network isStructural/relational analysis framework
Sursa seminalăKrackhardt, 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
Denumiri alternativeKrackhardt GTD, graph-theoretic dimensions of hierarchy, Krackhardt connectedness-hierarchy-efficiency-LUB, out-tree hierarchy measuresSNA, network analysis, sociometric analysis, relational analysis
Înrudite55
RezumatKrackhardt'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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ScholarGateCompară metode: Krackhardt Hierarchy Measures · Social Network Analysis. Preluat la 2026-06-24 de pe https://scholargate.app/ro/compare