2007/07/09 by Damián H. Zanette, Damian H. Zanette, Zanette, Damian H. · 1 citation
Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Evolutionary Game Theory and Cooperation #Opinion Dynamics and Social Influence #physics.soc-ph
paper · pdf · doi:10.48550/arxiv.0707.1249
This is a written version of a talk to be given at the International School on Complexity: Course on Statistical Physics of Social Dynamics: Opinions, Semiotic Dynamics, and Language (Erice, 13-20 July, 2007)
arxiv created 2007/07/11 · arxiv updated 2009/12/01
We study the spreading of an infection within an SIS epidemiological model on a network. Susceptible agents are given the opportunity of breaking their links with infected agents, and reconnecting those links with the rest of the population. Thus, the network coevolves with the population as the infection progresses. We show that a moderate reconnection frequency is enough to completely suppress the infection. A partial, rather weak isolation of infected agents suffices to eliminate the endemic state.