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Epidemic dynamics on weighted networks by adaptive rewiring

Author

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  • Liang Chen

    (Department of Information Engineering, Nanjing Normal University, Taizhou College, Taizhou 225300, P. R. China)

Abstract

We study epidemic dynamics in weighted networks, where the susceptible nodes can change their infected neighbors by rewiring the edge. Two kinds of edges with different weights are considered and the effects of the edge density and the rewiring process on the epidemic properties are studied. The simulation results show that a fraction of infected nodes in the equilibrium state exhibit a nonmonotonic or monotonic behavior with the increase of the fraction of heavier weighted edges or the rewiring probability. Under the rewiring process, the system can evolve to a lower infected state in comparison with the result obtained in static network. The effect of rewiring different weighted edges on the epidemic behavior is also discussed.

Suggested Citation

  • Liang Chen, 2018. "Epidemic dynamics on weighted networks by adaptive rewiring," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 29(04), pages 1-9, April.
    • Handle: RePEc:wsi:ijmpcx:v:29:y:2018:i:04:n:s0129183118500316
    DOI: 10.1142/S0129183118500316
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