The Coevolution of Communication Networks and Drinking Behaviors
This study examines the co-evolution of mobile-phone communication networks of 196 undergraduate students and their drinking behaviors over four semesters since 2011. We use stochastic actor-based models to explore the network dynamics and social influences simultaneously, net of other socio-demographic and network factors. We find that individuals with similar alcohol use were more likely to form connections and that individuals adjusted their drinking behaviors to those of their peers. Social influence processes turned out to play a more significant role than selection processes in predicting similarity in alcohol use.