In order to shed light on the process of radicalization, we have constructed a computational simulation of a community in which radicalization occurs. In this simulated society we varied parameters such as population size, homogeneity, and migration, and examined how they affected the formulation of self-starter radical cells. We have also looked at social venues, which we call "magnets", and modeled how they create new ties between agents. In agreement with case studies, we found that such venues radicalize even when they attract radicals and non-radicals alike. Interestingly, we found among others, that population size has little effect on radicalization, but greater diversity strongly suppresses it. By understanding how radical cells form, the model facilitates better prediction of terrorist-cell formation, and better targeting of counter-radicalization policies.
Genkin M., Gutfraind A. How Do Terrorist Cells Self-Assemble? Insights from an Agent-Based Model. SSRN Working Paper.
