Journal article

p(2): a random effects model with covariates for directed graphs

Abstract:: 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.

Publication status:: Published

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APA Style

van Duijn, M. A. J., Snijders, T., & Zijlstra, B. (2004). p(2): a random effects model with covariates for directed graphs. STATISTICA NEERLANDICA, 58(2), 234–254.

MLA Style

van Duijn, M. AJ, et al. “p(2): a Random Effects Model with Covariates for Directed Graphs.” STATISTICA NEERLANDICA, vol. 58, no. 2, 2004, pp. 234–54.

Chicago Style

Duijn, MAJ van, T Snijders, and B Zijlstra. 2004. “p(2): a Random Effects Model with Covariates for Directed Graphs.” STATISTICA NEERLANDICA 58 (2): 234–54.
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Publisher copy:: 10.1046/j.0039-0402.2003.00258.x

Authors

+ van Duijn, MAJ More by this author

Role:: Author

+ Snijders, T More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Statistics
Role:: Author

+ Zijlstra, B More by this author

Role:: Author

Journal:: STATISTICA NEERLANDICA More from this journal
Volume:: 58
Issue:: 2
Pages:: 234-254
Publication date:: 2004-05-01
DOI:: 10.1046/j.0039-0402.2003.00258.x
EISSN:: 1467-9574
ISSN:: 0039-0402

Language:: English
Keywords:: GLMM

random effects

IGLS

adjacency matrix

social network analysis

logistic regression

p(1) model

dependent binary data
Pubs id:: pubs:97785
UUID:: uuid:33c90deb-4fb6-4937-b213-1419a1fa80a7
Local pid:: pubs:97785
Source identifiers:: 97785
Deposit date:: 2012-12-19

Terms of use

Copyright date:: 2004

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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