Burstiness in activity-driven networks and the epidemic threshold

@article{Mancastroppa2019BurstinessIA,
  title={Burstiness in activity-driven networks and the epidemic threshold},
  author={Marco Mancastroppa and Alessandro Vezzani and Miguel Angel Mu{\~n}oz and Raffaella Burioni},
  journal={Journal of Statistical Mechanics: Theory and Experiment},
  year={2019},
  volume={2019}
}
We study the effect of heterogeneous temporal activations on epidemic spreading in temporal networks. We focus on the susceptible-infected-susceptible model on activity-driven networks with burstiness. By using an activity-based mean-field approach, we derive a closed analytical form for the epidemic threshold for arbitrary activity and inter-event time distributions. We show that, as expected, burstiness lowers the epidemic threshold while its effect on prevalence is twofold. In low-infective… 

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