השוואת שיטות
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| Krackhardt Hierarchy Measures× | ניתוח רשתות חברתיות× | |
|---|---|---|
| תחום≠ | Sociology | ניתוח רשתות |
| משפחה≠ | Process / pipeline | Machine learning |
| שנת המקור≠ | 1994 | 1934 (sociometry); 1994 (modern formalization) |
| הוגה השיטה≠ | David Krackhardt | Moreno, J.L.; formalized by Wasserman & Faust |
| סוג≠ | Set of four graph-theoretic indices of how hierarchical a network is | Structural/relational analysis framework |
| מקור מכונן≠ | Krackhardt, 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 |
| כינויים | Krackhardt GTD, graph-theoretic dimensions of hierarchy, Krackhardt connectedness-hierarchy-efficiency-LUB, out-tree hierarchy measures | SNA, network analysis, sociometric analysis, relational analysis |
| קשורות | 5 | 5 |
| תקציר≠ | Krackhardt'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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