p(2): a random effects model with covariates for directed graphs
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. Par...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2004
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