Compare methods

	MRQAP Network Regression	Social Network Analysis
Field	Sociology	Network analysis
Family	Regression model	Machine learning
Year of origin	1988 (MRQAP); 2007 (double-semipartialing test)	1934 (sociometry); 1994 (modern formalization)
Originator	David Krackhardt; David Dekker, David Krackhardt & Tom Snijders	Moreno, J.L.; formalized by Wasserman & Faust
Type	Permutation-based multiple regression for dyadic (matrix) outcomes	Structural/relational analysis framework
Seminal source	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
Aliases	MRQAP, multiple regression QAP, Dekker double-semipartialing, QAP regression	SNA, network analysis, sociometric analysis, relational analysis
Related	4	5
Summary	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.