Computational analysis of social contagion and homophily based on an adaptive social network model

Abstract

This study combined the Social Science principles of homophily and social contagion within an approach to adaptive network modeling. The introduced adaptive temporal-causal network model incorporates both principles. This model was used to analyse an empirical data set concerning delinquency behaviour data among secondary school students. A mathematical analysis provided more in depth insight in the behavior of the model.