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Epidemic spreading on weighted adaptive networks

Author

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  • Zhou, Yinzuo
  • Xia, Yingjie

Abstract

Considering the fact that the contact strengths among people are diverse both in the duration time and the distance, in this paper, we study the epidemic dynamics with susceptible–infective–susceptible (SIS) model on a weighted adaptive network to emphasize this contact feature. In this model, the weight of a link denotes the contact strength between two individuals connected by this link, and each susceptible individual may adaptively transfer the weight from a link to another. We find that this weight adaption process could significantly aggravate the prevalence of an epidemic. Moreover, we examine the effectiveness of the link-removal strategy with our model, and the results show that the weight adaption process may weaken the efficiency of the strategy. The theoretical analysis is supported by the simulation results.

Suggested Citation

  • Zhou, Yinzuo & Xia, Yingjie, 2014. "Epidemic spreading on weighted adaptive networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 16-23.
  • Handle: RePEc:eee:phsmap:v:399:y:2014:i:c:p:16-23
    DOI: 10.1016/j.physa.2013.12.036
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    Citations

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    Cited by:

    1. Huang, Yunhan & Ding, Li & Feng, Yun, 2016. "A novel epidemic spreading model with decreasing infection rate based on infection times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 1041-1048.
    2. Zhan, Xiu-Xiu & Liu, Chuang & Zhang, Zi-Ke & Sun, Gui-Quan, 2016. "Roles of edge weights on epidemic spreading dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 228-234.
    3. Han, Dun & Sun, Mei, 2014. "Can memory and conformism resolve the vaccination dilemma?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 95-104.
    4. Dong, Chao & Yin, Qiuju & Liu, Wenyang & Yan, Zhijun & Shi, Tianyu, 2015. "Can rewiring strategy control the epidemic spreading?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 169-177.
    5. Shanshan Wan & Zhuo Chen & Cheng Lyu & Ruofan Li & Yuntao Yue & Ying Liu, 2022. "Research on disaster information dissemination based on social sensor networks," International Journal of Distributed Sensor Networks, , vol. 18(3), pages 15501329221, March.
    6. Zhan, Xiu-Xiu & Liu, Chuang & Sun, Gui-Quan & Zhang, Zi-Ke, 2018. "Epidemic dynamics on information-driven adaptive networks," Chaos, Solitons & Fractals, Elsevier, vol. 108(C), pages 196-204.
    7. Yao, Yiyang & Zhou, Yinzuo, 2017. "Epidemic spreading on dual-structure networks with mobile agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 218-225.

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