EPIDEMIC SPREADING IN A COMPLEX NETWORK

Mingfeng He (), Bin Wang, Xinhua Xiao and Lei Sun
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Mingfeng He: Department of Applied Mathematics and College of Advanced Science and Technology, Dalian University of Technology, Dalian, 116024, China
Bin Wang: School of Enviromental and Biological Science and Technology and Institute of University Students' Innovation, Dalian University of Technology, Dalian, 116024, China
Xinhua Xiao: School of Electronic and Information Engineering and Institute of University Students' Innovation, Dalian University of Technology, Dalian, 116024, China
Lei Sun: School of Chemical Engineering and Institute of University Students' Innovation, Dalian University of Technology, Dalian, 116024, China

International Journal of Modern Physics C (IJMPC), 2007, vol. 18, issue 09, 1453-1458

Abstract: In this paper, a complex network is constructed as comprising "clusters" which can be interpreted as a group of people with regular contacts. In each "cluster" individuals contact fully. A given individual contact individuals in other "clusters" by links. Then we study the dynamical behavior of the epidemiological model in this complex network, and discuss the influence of the intra-cluster infection probability, the extra-cluster infection probability, and infection time before being detected on epidemic dynamics. The results show that extra-cluster infection reduction, early detection and swift isolation are good infection control practices.

Keywords: Cluster; complex networks; epidemics (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1142/S0129183107011522

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