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Scaling of the propagation of epidemics in a system of mobile agents

Author

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  • González, M.C
  • Herrmann, H.J

Abstract

For a two-dimensional system of agents modeled by molecular dynamics, we simulate epidemics spreading, which was recently studied on complex networks. Our resulting network model is time-evolving. We study the transitions to spreading as function of density, temperature and infection time. In addition, we analyze the epidemic threshold associated to a power-law distribution of infection times.

Suggested Citation

  • González, M.C & Herrmann, H.J, 2004. "Scaling of the propagation of epidemics in a system of mobile agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 340(4), pages 741-748.
    • Handle: RePEc:eee:phsmap:v:340:y:2004:i:4:p:741-748
    DOI: 10.1016/j.physa.2004.05.017
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    Cited by:

    1. Wu, Qingchu & Fu, Xinchu & Jin, Zhen & Small, Michael, 2015. "Influence of dynamic immunization on epidemic spreading in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 566-574.
    2. Gamermann, Daniel & Antunes, Felipe Leite, 2018. "Statistical analysis of Brazilian electoral campaigns via Benford’s law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 171-188.
    3. Ventura, Paulo Cesar & Aleta, Alberto & Rodrigues, Francisco A. & Moreno, Yamir, 2022. "Epidemic spreading in populations of mobile agents with adaptive behavioral response," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).

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