विधियों की तुलना करें

	MRQAP Network Regression	सामाजिक नेटवर्क विश्लेषण
क्षेत्र	Sociology	नेटवर्क विश्लेषण
परिवार	Regression model	Machine learning
उद्भव वर्ष	1988 (MRQAP); 2007 (double-semipartialing test)	1934 (sociometry); 1994 (modern formalization)
प्रवर्तक	David Krackhardt; David Dekker, David Krackhardt & Tom Snijders	Moreno, J.L.; formalized by Wasserman & Faust
प्रकार	Permutation-based multiple regression for dyadic (matrix) outcomes	Structural/relational analysis framework
मौलिक स्रोत	Krackhardt, D. (1988). Predicting with networks: Nonparametric multiple regression analysis of dyadic data. Social Networks, 10(4), 359–381.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
उपनाम	MRQAP, multiple regression QAP, Dekker double-semipartialing, QAP regression	SNA, network analysis, sociometric analysis, relational analysis
संबंधित	4	5
सारांश	Multiple 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.