A model for epidemic spreading on rewiring networks is introduced and analyzed for the case of scale free steady state networks. It is found that contrary to what one would have naively expected, the rewiring process typically tends to suppress epidemic spreading. In particular it is found, that as in static networks under a mean-field approximation, rewiring networks with degree distribution exponent γ>3 exhibit a threshold in the infection rate below which epidemics die out in the steady state. However the threshold is higher in the rewiring case. For 2<γ≤3 no such threshold exists, but for small infection rate the steady state density of infected nodes (prevalence) is smaller for rewiring networks
<p>For a given rewiring probability <i>p</i> and a given spatial constraint <i>R</i>, we gradually i...
Conventional epidemic models assume omni-directional contact-based infection. This strongly associat...
Networks can be used to describe the interconnections among individuals, which play an important rol...
A model for epidemic spreading on rewiring networks is introduced and analyzed for the case of scale...
Epidemics on complex networks is a widely investigated topic in the last few years, mainly due to th...
Volchenkov D, Volchenkova L, Blanchard P. Epidemic spreading in a variety of scale free networks. PH...
We study the threshold of epidemic models in quenched networks with degree distribution given by a p...
The study of epidemics on static networks has revealed important effects on disease prevalence of ne...
In this paper, we propose a modified susceptible-infected-recovered (SIR) model, in which each node ...
We study the contact process on a class of evolving scale-free networks, where each node updates its...
The understanding of epidemics on networks has greatly benefited from the recent application of mess...
We study the Susceptible-Infected-Susceptible model of epidemic spreading on two layers of networks ...
We study by analytical methods and large scale simulations a dynamical model for the spreading of ep...
We investigate a fermionic susceptible-infected-susceptible model with the mobility of infected indi...
A stochastic SIR (susceptible → infective → recovered) model is considered for the spread of an epid...
<p>For a given rewiring probability <i>p</i> and a given spatial constraint <i>R</i>, we gradually i...
Conventional epidemic models assume omni-directional contact-based infection. This strongly associat...
Networks can be used to describe the interconnections among individuals, which play an important rol...
A model for epidemic spreading on rewiring networks is introduced and analyzed for the case of scale...
Epidemics on complex networks is a widely investigated topic in the last few years, mainly due to th...
Volchenkov D, Volchenkova L, Blanchard P. Epidemic spreading in a variety of scale free networks. PH...
We study the threshold of epidemic models in quenched networks with degree distribution given by a p...
The study of epidemics on static networks has revealed important effects on disease prevalence of ne...
In this paper, we propose a modified susceptible-infected-recovered (SIR) model, in which each node ...
We study the contact process on a class of evolving scale-free networks, where each node updates its...
The understanding of epidemics on networks has greatly benefited from the recent application of mess...
We study the Susceptible-Infected-Susceptible model of epidemic spreading on two layers of networks ...
We study by analytical methods and large scale simulations a dynamical model for the spreading of ep...
We investigate a fermionic susceptible-infected-susceptible model with the mobility of infected indi...
A stochastic SIR (susceptible → infective → recovered) model is considered for the spread of an epid...
<p>For a given rewiring probability <i>p</i> and a given spatial constraint <i>R</i>, we gradually i...
Conventional epidemic models assume omni-directional contact-based infection. This strongly associat...
Networks can be used to describe the interconnections among individuals, which play an important rol...