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- Copyright
- © 2004 Royal Statistical Society
- ISSN
- 0035-9254
- eISSN
- 1467-9876
- DOI
- 10.1046/j.1467-9876.2003.05215.x
- Publisher site
- See Article on Publisher Site
Abstract
SummaryA fully Bayesian analysis of directed graphs, with particular emphasis on applica- tions in social networks, is explored. The model is capable of incorporating the effects of covariates, within and between block ties and multiple responses. Inference is straightforward by using software that is based on Markov chain Monte Carlo methods. Examples are provided which highlight the variety of data sets that can be entertained and the ease with which they can be analysed.
Journal
Journal of the Royal Statistical Society Series C (Applied Statistics) – Oxford University Press
Published: Mar 19, 2004
Keywords: Bayesian analysis; Markov chain Monte Carlo methods; Social network models; Statistical graph theory; WinBUGS