Premium
p 2 : a random effects model with covariates for directed graphs
Author(s) -
Duijn Marijtje A. J.,
Snijders Tom A. B.,
Zijlstra Bonne J. H.
Publication year - 2004
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1046/j.0039-0402.2003.00258.x
Subject(s) - covariate , mathematics , random graph , iterated function , random effects model , binary number , friendship , graph , node (physics) , set (abstract data type) , discrete mathematics , statistics , combinatorics , computer science , meta analysis , psychology , medicine , mathematical analysis , arithmetic , programming language , social psychology , structural engineering , engineering
A random effects model is proposed for the analysis of binary dyadic data that represent a social network or directed graph, using nodal and/or dyadic attributes as covariates. The network structure is reflected by modeling the dependence between the relations to and from the same actor or node. Parameter estimates are proposed that are based on an iterated generalized least‐squares procedure. An application is presented to a data set on friendship relations between American lawyers.