A Bayesian approach for the analysis of triadic data in cognitive social structures

type="main" xml:id="rssc12096-abs-0001"> The paper proposes a fully Bayesian approach for the analysis of triadic data in social networks. Inference is based on Markov chain Monte Carlo methods as implemented in the software package WinBUGS. We apply the methodology to two data sets to highlight the ease with which cognitive social structures can be analysed.