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Geographical Effects On Epidemic Spreading In Scale-Free Networks

Author

Listed:
  • XIN-JIAN XU

    (Departamento de Física da Universidade de Aveiro, 3810-193 Aveiro, Portugal)

  • WEN-XU WANG

    (Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong SAR, China)

  • TAO ZHOU

    (Nonlinear Science Center and Department of Modern Physics, University of Science and Technology of China, Hefei Anhui 230026, China)

  • GUANRONG CHEN

    (Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong SAR, China)

Abstract

Many real networks are embedded in a metric space: the interactions among individuals depend on their spatial distances and usually take place among their nearest neighbors. In this paper, we introduce a modified susceptible-infected-susceptible (SIS) model to study geographical effects on the spread of diseases by assuming that the probability of a healthy individual infected by an infectious one is inversely proportional to the Euclidean distance between them. It is found that geography plays a more important role than hubs in disease spreading: the more geographically constrained the network is, the more highly the epidemic prevails.

Suggested Citation

  • Xin-Jian Xu & Wen-Xu Wang & Tao Zhou & Guanrong Chen, 2006. "Geographical Effects On Epidemic Spreading In Scale-Free Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 17(12), pages 1815-1822.
    • Handle: RePEc:wsi:ijmpcx:v:17:y:2006:i:12:n:s0129183106010194
    DOI: 10.1142/S0129183106010194
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    Cited by:

    1. Chao Zhang & Si Chen & Chunyang Wang & Yi Zhao & Min Ao, 2022. "Population Flow and Epidemic Spread: Direct Impact and Spatial Spillover Effect," SAGE Open, , vol. 12(1), pages 21582440211, January.
    2. Liang, Yuanyuan & Xia, Yongxiang & Yang, Xu-Hua, 2022. "Hybrid-radius spatial network model and its robustness analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 591(C).

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