Synergistic cumulative contagion in epidemic spreading

Most epidemic spreading models assume memoryless agents and independent processes. Nevertheless, many real-life cases are manifestly time-sensitive and show strong correlations. We develop a microscopic description of the infection mechanism that is equipped with memory of past exposures and incorporates the combined effect of multiple infectious sources. Our simulations show a rich variety of phenomena, including loss of universality, collective memory loss, excitability and hysteresis, and indicate that non-Markovian effects significantly alter the properties of dynamical processes in complex networks.

Authors: 
Xavier R. Hoffmann and Marian Boguna
Room: 
2
Date: 
Tuesday, September 25, 2018 - 18:00 to 18:15

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