Models for the analysis of social networks with multiple sources of variation
Bonne Zijlstra PhD
Project: University of Groningen
Project financed by: The Netherlands Organization for Scientific Research (NWO)
Supervisors: Prof. dr T.A.B. Snijders, dr M.A.J. van Duijn
Project running from: 1 September 2001 – 22 May 2006
For the analysis of social network data, models are proposed that take into account variation coming from individuals, dyads (i.e. pairs of individuals), groups of individuals, as well as multiplex relations and multiple questions pertaining to one relation. These models extend an existing model for the analysis of a single network which accomodates variation connected to the individuals and the dyads in the network.
Several estimation techniques will be investigated, and the most suitable will be implemented in user-friendly software. The models will be used in the analysis of data on friendship networks from several national and international research projects.
Date of defence: 11 September 2008
Title of thesis: Random effects models for directed graphs with covariates
ISBN: 978-90-367-3498-1 (electronic version)