ROLE OF EDGES IN COMPLEX NETWORK EPIDEMIOLOGY

Hao Zhang, Zhi-Hong Jiang, Hui Wang, Fei Xie and Chao Chen ()
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Hao Zhang: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, P. R. China
Zhi-Hong Jiang: College of Information Systems and Management, National University of Defense Technology, Changsha 410073, P. R. China
Hui Wang: College of Information Systems and Management, National University of Defense Technology, Changsha 410073, P. R. China
Fei Xie: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, P. R. China
Chao Chen: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, P. R. China

International Journal of Modern Physics C (IJMPC), 2012, vol. 23, issue 09, 1-10

Abstract: In complex network epidemiology, diseases spread along contacting edges between individuals and different edges may play different roles in epidemic outbreaks. Quantifying the efficiency of edges is an important step towards arresting epidemics. In this paper, we study the efficiency of edges in general susceptible-infected-recovered models, and introduce thetransmission capabilityto measure the efficiency of edges. Results show that deleting edges with the highest transmission capability will greatly decrease epidemics on scale-free networks. Basing on the message passing approach, we get exact mathematical solution on configuration model networks with edge deletion in the large size limit.

Keywords: Complex networks; SIR model; edge deletion; 89.75.Hc; 87.23.Ge; 64.60.aq (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1142/S0129183112500593

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