In recent years, chaos theory and other forms of computational modeling have sought to leverage findings in the social sciences to better describe—and maybe one day predict—how groups of people behave. One approach looks to update a widely used model to examine how changes in political opinions ripple through a group and how polarization can arise.
Click here for original story, Simulations show extreme opinions can lead to polarized groups
Source: Phys.org