Bayesian Analysis of Social Influence

Abstract The network influence model is a for binary outcome variables that accounts dependencies between outcomes units are relationally tied. basic was previously extended to afford suite of new dependence assumptions and because its relation traditional Markov random field models it often referred as the auto logistic actor-attribute (ALAAM). We extend on current approaches fitting ALAAMs by presenting comprehensive Bayesian inference scheme supports testing across subsets data presence missing data. illustrate different aspects procedures through three empirical examples: masculinity attitudes in an all-male Australian school class, educational progression Swedish schools, unemployment among adults community sample Australia.