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.
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Boomgaard, G., Lavitt, F., Treur, J. (2018). Computational Analysis of Social Contagion and Homophily Based on an Adaptive Social Network Model. In: Staab, S., Koltsova, O., Ignatov, D. (eds) Social Informatics. SocInfo 2018. Lecture Notes in Computer Science(), vol 11185. Springer, Cham. https://doi.org/10.1007/978-3-030-01129-1_6
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