CNetS faculty Filippo Radicchi and Santo Fortunato, along with graduate students Siddharth Patwardhan and Varun Rao, have found that, in order to limit the spreading of epidemics, it is advantageous to act on the composition of social groups. Specifically, since contact networks consists of different levels (school, work, family, etc.), groups of individuals should be highly overlapping between layers to slow down the progression of the disease. The results of the theoretical analysis, carried out on artificial networks, were supported by using enrollment and residence data of students of Indiana University. The paper has just been published in Physical Review X and the American Physical Society has highlighted it with a feature in Physics. See also Luddy’s press release.