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MRQAP Network Regression×Análise de Redes Sociais×
ÁreaSociologyAnálise de redes
FamíliaRegression modelMachine learning
Ano de origem1988 (MRQAP); 2007 (double-semipartialing test)1934 (sociometry); 1994 (modern formalization)
Autor originalDavid Krackhardt; David Dekker, David Krackhardt & Tom SnijdersMoreno, J.L.; formalized by Wasserman & Faust
TipoPermutation-based multiple regression for dyadic (matrix) outcomesStructural/relational analysis framework
Fonte seminalKrackhardt, D. (1988). Predicting with networks: Nonparametric multiple regression analysis of dyadic data. Social Networks, 10(4), 359–381. DOI ↗Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Outros nomesMRQAP, multiple regression QAP, Dekker double-semipartialing, QAP regressionSNA, network analysis, sociometric analysis, relational analysis
Relacionados45
ResumoMultiple regression quadratic assignment procedure (MRQAP) extends QAP to the regression setting: it predicts a dependent relational matrix from several independent relational matrices on the same actors — for example, modeling who collaborates with whom as a function of who is co-located, who shares a department, and who has prior friendship. Coefficients are estimated by ordinary least squares on the vectorized matrices, but significance is assessed by permutation, because dyadic dependence invalidates the standard regression standard errors.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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ScholarGateComparar métodos: MRQAP Network Regression · Social Network Analysis. Recuperado em 2026-06-24 de https://scholargate.app/pt/compare