Epidemic spreading over quenched networks with local behavioral response. (March 2017)

• Record Type: Journal Article
• Authors: Wu, Qingchu; Chen, Shufang; Zha, Lingling
• Is Part Of: Chaos, solitons and fractals. Volume 96(2017)
• Page Start: 17
• Page End: 22
• Publication Date: 2017-03
• Subjects: Complex networks -- Epidemic spreading -- Pair approximation; Chaotic behavior in systems -- Periodicals; Solitons -- Periodicals; Fractals -- Periodicals; Chaotic behavior in systems; Fractals; Solitons; Periodicals; 003.7
• DOI: 10.1016/j.chaos.2017.01.003
• Languages: English
• ISSNs: 0960-0779

Abstract

Abstract: We discuss the impact of local information-based behavioral response on epidemic spreading in social networks. By using a pair quenched mean-field approach developed by Mata and Ferreira [Europhys. Lett. 103 (2013) 48003], we derive a dynamical model governing the epidemic spreading over a random network with a linear response function and density-dependent epidemic information. A deterministic relation between the epidemic threshold and the response parameter is derived according to a quasi-static approximation method. It is found that local behavioral response will induce the extinction of the disease via rasing the epidemic threshold. Additionally, the theoretical result is supported by stochastic simulations on an Erd o ¨ s–Rényi random network and a Barab a ´ si–Albert scale-free network. Simulations show that the pair quenched mean-field approach is more accurate than the classical quenched mean-field approach.