Crossover from weak to strong disorder regime in the duration of epidemics
arXiv:1212.6384 · doi:10.1016/j.physa.2012.04.002
Abstract
We study the Susceptible-Infected-Recovered model in complex networks, considering that not all individuals in the population interact in the same way between them. This heterogeneity between contacts is modeled by a continuous disorder. In our model the disorder represents the contact time or the closeness between individuals. We find that the duration time of an epidemic has a crossover with the system size, from a power law regime to a logarithmic regime depending on the transmissibility related to the strength of the disorder. Using percolation theory, we find that the duration of the epidemic scales as the average length of the branches of the infection. Our theoretical findings, supported by simulations, explains the crossover between the two regimes.
References in corpus (7)
- Theory of Rumour Spreading in Complex Social Networks
- Prominence and control: The weighted rich-club effect
- Optimal Paths in Disordered Complex Networks
- Predicting the size and probability of epidemics in a population with heterogeneous infectiousness and susceptibility
- Size of Outbreaks Near the Epidemic Threshold
- Numerical evaluation of the upper critical dimension of percolation in scale-free networks
- Effects of epidemic threshold definition on disease spread statistics