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Immunization dynamics on a two-layer network model

Author

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  • Jo, Hang-Hyun
  • Ki Baek, Seung
  • Moon, Hie-Tae

Abstract

We introduced a two-layer network model for the study of the immunization dynamics in epidemics. Spreading of an epidemic is modeled as an excitatory process in a Watts–Strogatz small-world network (infection layer) while immunization by prevention of the disease as a dynamic process in a Barabási–Albert scale-free network (prevention layer). It is shown that prevention indeed turns periodic rages of an epidemic into small fluctuations, and in a certain situation, actually plays an adverse role and helps the disease survive. We argue that the presence of two different characteristic time scales contributes to the immunization dynamics observed.

Suggested Citation

  • Jo, Hang-Hyun & Ki Baek, Seung & Moon, Hie-Tae, 2006. "Immunization dynamics on a two-layer network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(2), pages 534-542.
    • Handle: RePEc:eee:phsmap:v:361:y:2006:i:2:p:534-542
    DOI: 10.1016/j.physa.2005.06.074
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    Cited by:

    1. Wang, Chenxu & Wang, Gaoshuai & Luo, Xiapu & Li, Hui, 2019. "Modeling rumor propagation and mitigation across multiple social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    2. Li, Jingwei & Li, Shouwei, 2023. "Immunization of systemic risk in trade–investment networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    3. Hang-Hyun Jo & Jeoung-Yoo Kim, 2012. "Competitive Targeted Marketing," ISER Discussion Paper 0834, Institute of Social and Economic Research, Osaka University.

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