SIR model on one dimensional small world networks

TL;DR

This paper investigates the epidemic spreading SIR model on one-dimensional small world networks, analyzing its critical behavior, phase transition, and crossover from one-dimensional to mean field universality class through analytical and numerical methods.

Contribution

It demonstrates that increasing connectivity does not change the criticality, but any finite rewiring probability causes a transition to mean field behavior, and it calculates critical exponents and crossover functions.

Findings

Critical exponents are calculated for the model.

The model transitions from 1D to mean field behavior at finite rewiring probability.

The crossover scaling function from 1D to mean field is derived.

Abstract

We study the absorbing phase transition for the model of epidemic spreading, Susceptible- Infected- Refractory (SIR), on one dimensional small world networks. This model has been found to be in the universality class of the dynamical percolation class, the mean field class corresponding to this model is d = 6. The one dimensional case is special case of this class in which the percolation threshold goes to one (boundary value) in the thermodynamic limit. This behavior resembles slightly the behavior of one dimensional Ising and XY models where the critical thresholds for both models go to zero temperature (boundary value) in the thermodynamic limit. By analytical arguments and numerical simulations we demonstrate that, increasing the connectivity (2k) of this model on regular one dimensional lattice does not alter the criticality of this model. Whereas we find that, this model crosses from a one dimensional structure to mean field type for any finite value of the rewiring probability (p), in manner is similarly to what happened in the Ising and XY models on small world networks. In additional to that, we calculate the critical exponents and the full critical phase space of this model on small world network. We also introduce the crossover scaling function of this model from one dimensional behavior to mean field behavior. Furthermore we reveal the similarity between this model, and the Ising and XY models on the small world networks.