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Epidemic Spreading In A Complex Network

Author

Listed:
  • 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)

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.

Suggested Citation

  • Mingfeng He & Bin Wang & Xinhua Xiao & Lei Sun, 2007. "Epidemic Spreading In A Complex Network," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 18(09), pages 1453-1458.
    • Handle: RePEc:wsi:ijmpcx:v:18:y:2007:i:09:n:s0129183107011522
    DOI: 10.1142/S0129183107011522
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