Epidemic spreading on random surfer networks with infected avoidance strategy

doi:10.1088/1674-1056/25/12/128903

Abstract

In this paper, we study epidemic spreading on random surfer networks with infected avoidance (IA) strategy. In particular, we consider that susceptible individuals' moving direction angles are affected by the current location information received from infected individuals through a directed information network. The model is mainly analyzed by discrete-time numerical simulations. The results indicate that the IA strategy can restrain epidemic spreading effectively. However, when long-distance jumps of individuals exist, the IA strategy's effectiveness on restraining epidemic spreading is heavily reduced. Finally, it is found that the influence of the noises from information transferring process on epidemic spreading is indistinctive.

Keywords: epidemic spreading SIS model random surfer networks

Received: 17 June 2016
Revised: 18 August 2016
Accepted manuscript online:

PACS:	89.75.Fb	(Structures and organization in complex systems)
	87.23.Ge	(Dynamics of social systems)
	89.75.-k	(Complex systems)
	89.75.Hc	(Networks and genealogical trees)

Fund:

Project supported in part by the National Natural Science Foundation of China (Grant Nos. 61403284, 61272114, 61673303, and 61672112) and the Marine Renewable Energy Special Fund Project of the State Oceanic Administration of China (Grant No. GHME2013JS01).

Corresponding Authors: Li Ding
E-mail: liding@whu.edu.cn

Cite this article:

Yun Feng(冯运), Li Ding(丁李), Yun-Han Huang(黄蕴涵), Zhi-Hong Guan(关治洪) Epidemic spreading on random surfer networks with infected avoidance strategy 2016 Chin. Phys. B 25 128903

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