Small inter-event times govern epidemic spreading on temporal networks
arXiv:1911.04040 · doi:10.1103/PhysRevResearch.2.023163
Abstract
Just like the degrees of human and animal interaction networks, the distribution of the times between interactions is known to often be right-skewed and fat-tailed. Both these distributions affect epidemic dynamics strongly, but, as we show in this Letter, for very different reasons. Whereas the high degrees of the tail are critical for facilitating epidemics, it is the small interevent times that control the dynamics of epidemics. We investigate this effect both analytically and numerically for different versions of the Susceptible-Infected-Recovered model on different types of networks.
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- Hidden dependence of spreading vulnerability on topological complexity
- SIS Epidemic Modelling on Homogeneous Networked System: General Recovering Process and Mean-Field Perspective
- Metapopulation models imply non-Poissonian statistics of interevent times
- Modeling and Controlling the Spread of Epidemic with Various Social and Economic Scenarios
- How contact patterns destabilize and modulate epidemic outbreaks
- Spline tie-decay temporal networks