Сравнение методов

	MRQAP Network Regression	Социальный сетевой анализ
Область	Sociology	Сетевой анализ
Семейство	Regression model	Machine learning
Год появления	1988 (MRQAP); 2007 (double-semipartialing test)	1934 (sociometry); 1994 (modern formalization)
Автор метода	David Krackhardt; David Dekker, David Krackhardt & Tom Snijders	Moreno, J.L.; formalized by Wasserman & Faust
Тип	Permutation-based multiple regression for dyadic (matrix) outcomes	Structural/relational analysis framework
Основополагающий источник	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
Другие названия	MRQAP, multiple regression QAP, Dekker double-semipartialing, QAP regression	SNA, network analysis, sociometric analysis, relational analysis
Связанные	4	5
Сводка	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.