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Diffusion and protection across a random graph

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  • GALEOTTI, ANDREA
  • ROGERS, BRIAN W.

Abstract

We study the interplay between the diffusion of a harmful state in a network of contacts and the possibility of individual agents to undertake costly investment to protect themselves against infection. We characterize how equilibrium diffusion outcomes, such as the immunization rate, total prevalence and welfare, respond to changes in the architecture of the network, and show that these responses depend on the details of the diffusion process.

Suggested Citation

  • Galeotti, Andrea & Rogers, Brian W., 2015. "Diffusion and protection across a random graph," Network Science, Cambridge University Press, vol. 3(3), pages 361-376, September.
    • Handle: RePEc:cup:netsci:v:3:y:2015:i:03:p:361-376_00
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    Cited by:

    1. Myong-Hun Chang & Troy Tassier, 2021. "Spatially Heterogeneous Vaccine Coverage and Externalities in a Computational Model of Epidemics," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 27-55, June.
    2. Francesco Feri & Paolo Pin, 2020. "Externalities Aggregation In Network Games," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1635-1658, November.
    3. Muscillo, Alessio & Pin, Paolo & Razzolini, Tiziano, 2021. "Spreading of an infectious disease between different locations," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 508-532.
    4. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2017. "The Economic Consequences of Social-Network Structure," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 49-95, March.
    5. Tabasso, Nicole, 2019. "Diffusion of multiple information: On information resilience and the power of segregation," Games and Economic Behavior, Elsevier, vol. 118(C), pages 219-240.

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