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Diffusion of multiple information: On information resilience and the power of segregation

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  • Tabasso, Nicole

Abstract

We introduce two pieces of information (memes) into a diffusion process in which memes are transmitted when agents meet and forgotten at an exogenous rate. At most one meme can be transmitted at each meeting, which one depends on preferences over memes. We find that the conditions under which a unique meme becomes endemic are sufficient for both to become endemic. Segregation according to information preferences leads to polarization, i.e., nobody is informed of both memes, and a loss of information. We show how the likelihood of segregation depends on information preferences and on parameters of the diffusion process.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:gamebe:v:118:y:2019:i:c:p:219-240
    DOI: 10.1016/j.geb.2019.09.003
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    Cited by:

    1. Domino, Krzysztof & Miszczak, Jarosław Adam, 2022. "Will you infect me with your opinion?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    2. Luca P. Merlino & Paolo Pin & Nicole Tabasso, 2023. "Debunking Rumors in Networks," American Economic Journal: Microeconomics, American Economic Association, vol. 15(1), pages 467-496, February.
    3. Teruyoshi Kobayashi & Tomokatsu Onaga, 2023. "Dynamics of diffusion on monoplex and multiplex networks: a message-passing approach," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(1), pages 251-287, July.

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    More about this item

    Keywords

    Social networks; Information transmission; Multiple states; Segregation;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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