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Bifurcation and propagation dynamics of a discrete pair SIS epidemic model on networks with correlation coefficient

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  • Wang, Xinhe
  • Wang, Zhen

Abstract

The spread of disease in social contact networks is inextricably linked to the topological and statistical properties of networks. In this work, dynamics of discrete epidemic system on networks with correlation and clustering coefficient are studied. In the scenario of ignoring clustering coefficient, critical value and stability of the system are discussed. After reconstructing the pair epidemic with correlations and clustering coefficient, the instability of the Dis-FE, bifurcation and propagation dynamics of the epidemic model are investigated, where some simulations are illustrated to explore the effects of clustering coefficient.

Suggested Citation

  • Wang, Xinhe & Wang, Zhen, 2022. "Bifurcation and propagation dynamics of a discrete pair SIS epidemic model on networks with correlation coefficient," Applied Mathematics and Computation, Elsevier, vol. 435(C).
  • Handle: RePEc:eee:apmaco:v:435:y:2022:i:c:s0096300322005513
    DOI: 10.1016/j.amc.2022.127477
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    1. Sonja B. Otto & Björn C. Rall & Ulrich Brose, 2007. "Allometric degree distributions facilitate food-web stability," Nature, Nature, vol. 450(7173), pages 1226-1229, December.
    2. Wang, Xinhe & Wang, Zhen & Lu, Junwei & Meng, Bo, 2021. "Stability, bifurcation and chaos of a discrete-time pair approximation epidemic model on adaptive networks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 182(C), pages 182-194.
    3. Steven H. Strogatz, 2001. "Exploring complex networks," Nature, Nature, vol. 410(6825), pages 268-276, March.
    4. Leyi Zheng & Longkun Tang, 2019. "A Node-Based SIRS Epidemic Model with Infective Media on Complex Networks," Complexity, Hindawi, vol. 2019, pages 1-14, February.
    5. Homayoun Hamedmoghadam & Mahdi Jalili & Hai L. Vu & Lewi Stone, 2021. "Percolation of heterogeneous flows uncovers the bottlenecks of infrastructure networks," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
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    Cited by:

    1. Lei Shi & Jiaying Zhou & Yong Ye, 2023. "Pattern Formation in a Predator–Prey Model with Allee Effect and Hyperbolic Mortality on Multiplex Networks," Mathematics, MDPI, vol. 11(15), pages 1-15, July.

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