Hoffman, Xavier (Supervisors: Boguñá, M. and Toral, R.)
Master Thesis (2016)
Most epidemic spreading models assume memoryless systems and statistically independent infections. Nevertheless, many real-life cases are manifestly time-sensitive and show strong correlations. We propose an alternative microscopic description of the susceptible-infected-susceptible model that accounts for cooperation, and perform simulations on degree-regular networks. Our results show a large variety of features, including hysteresis effects and loss of universality, and call for further research.