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arXiv · 2006.16464

Bayesian Analysis of Social Influence

Johan Koskinen·Galina Daraganova
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Abstract

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

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Johan Koskinen, Galina Daraganova. 2020-06-30. Bayesian Analysis of Social Influence. https://arxiv.org/abs/2006.16464

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