Modeling Epidemic Risk Perception in Networks with Community Structure

@inproceedings{Bagnoli2012ModelingER,
  title={Modeling Epidemic Risk Perception in Networks with Community Structure},
  author={Franco Bagnoli and Daniel Borkmann and Andrea Guazzini and Emanuele Massaro and Stefan Rudolph},
  booktitle={BIONETICS},
  year={2012}
}
We study the influence of global, local and community-level risk perception on the extinction probability of a disease in several models of social networks. In particular, we study the infection progression as a susceptible-infected-susceptible (SIS) model on several modular networks, formed by a certain number of random and scale-free communities. We find that in the scale-free networks the progression is faster than in random ones with the same average connectivity degree. For what concerns… 
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