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Diffusion of Multiple Information: On Information Resilience and the Power of Segregation

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  • Nicole Tabasso

    (University of Surrey, United Kingdom)

Abstract

We introduce two pieces of information, denoted memes, into a diffusion process in which memes are transmitted when individuals meet and forgotten at an exogenous rate. At most one meme can be transmitted at a meeting, which introduces opportunity costs in the process. Individuals differ according to which meme they find more interesting, and that is the one they transmit if they face a choice. We find that both memes survive under the same parameter values, and that relative interest is the main determinant in the number of people informed of a meme in the long run. We apply our framework to analyze the impact of segregation and find that segregation leads to polarization. Segregation also reduces the overall number of people informed in the long run. Our final set of results shows that agents are more likely to prefer segregation if their information preferences are more extreme, if they have few social contacts, or if they prefer a meme that is preferred by only a small fraction of the population

Suggested Citation

  • Nicole Tabasso, 2015. "Diffusion of Multiple Information: On Information Resilience and the Power of Segregation," Working Papers 2015.55, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2015.55
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    References listed on IDEAS

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    1. 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.
    2. Jeanne Hagenbach & Frédéric Koessler, 2010. "Strategic Communication Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(3), pages 1072-1099.
    3. Bramoullé, Yann & Currarini, Sergio & Jackson, Matthew O. & Pin, Paolo & Rogers, Brian W., 2012. "Homophily and long-run integration in social networks," Journal of Economic Theory, Elsevier, vol. 147(5), pages 1754-1786.
    4. Tanya S. Rosenblat & Markus M. Mobius, 2004. "Getting Closer or Drifting Apart?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 971-1009.
    5. Francis Bloch & Gabrielle Demange & Rachel Kranton, 2018. "Rumors And Social Networks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(2), pages 421-448, May.
    6. Sergio Currarini & Matthew O. Jackson & Paolo Pin, 2009. "An Economic Model of Friendship: Homophily, Minorities, and Segregation," Econometrica, Econometric Society, vol. 77(4), pages 1003-1045, July.
    7. Matthew O. Jackson & Brian W. Rogers, 2005. "The Economics of Small Worlds," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 617-627, 04/05.
    8. Andrea Galeotti & Brian W. Rogers, 2013. "Strategic Immunization and Group Structure," American Economic Journal: Microeconomics, American Economic Association, vol. 5(2), pages 1-32, May.
    9. Benjamin Golub & Matthew O. Jackson, 2012. "How Homophily Affects the Speed of Learning and Best-Response Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1287-1338.
    10. López-Pintado, Dunia, 2008. "Diffusion in complex social networks," Games and Economic Behavior, Elsevier, vol. 62(2), pages 573-590, March.
    11. Galeotti, Andrea & Goyal, Sanjeev & Kamphorst, Jurjen, 2006. "Network formation with heterogeneous players," Games and Economic Behavior, Elsevier, vol. 54(2), pages 353-372, February.
    12. Jackson, Matthew O. & Lã“Pez-Pintado, Dunia, 2013. "Diffusion and contagion in networks with heterogeneous agents and homophily," Network Science, Cambridge University Press, vol. 1(1), pages 49-67, April.
    13. Pradeep Dubey & Rahul Garg & Bernard De Meyer, 2006. "Competing for Customers in a Social Network," Cowles Foundation Discussion Papers 1591, Cowles Foundation for Research in Economics, Yale University.
    14. Daron Acemoglu & Asuman Ozdaglar, 2011. "Opinion Dynamics and Learning in Social Networks," Dynamic Games and Applications, Springer, vol. 1(1), pages 3-49, March.
    15. Jackson Matthew O. & Rogers Brian W., 2007. "Relating Network Structure to Diffusion Properties through Stochastic Dominance," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 7(1), pages 1-16, February.
    16. Matthew Gentzkow & Jesse M. Shapiro, 2011. "Ideological Segregation Online and Offline," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1799-1839.
    17. Bernard de Meyer & Pradeep K. Dubey & Rahul Garg, 2006. "Competing for Customers in a Social Network: The Quasi-linear Case," Post-Print hal-00367866, HAL.
    18. Halberstam, Yosh & Knight, Brian, 2016. "Homophily, group size, and the diffusion of political information in social networks: Evidence from Twitter," Journal of Public Economics, Elsevier, vol. 143(C), pages 73-88.
    19. V. Masson & S. Choi & A. Moore & M. Oak, 2018. "A model of informal favor exchange on networks," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 20(5), pages 639-656, October.
    20. Mariagiovanna Baccara & Leeat Yariv, 2008. "Similarity and Polarization in Groups," Working Papers 08-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    21. Michel Grabisch & Antoine Mandel & Agnieszka Rusinowska & Emily Tanimura, 2015. "Strategic influence in social networks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01158168, HAL.
    22. Goyal, Sanjeev & Heidari, Hoda & Kearns, Michael, 2019. "Competitive contagion in networks," Games and Economic Behavior, Elsevier, vol. 113(C), pages 58-79.
    23. Pritha Dev, 2018. "Group identity in a network formation game with cost sharing," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 20(3), pages 390-415, June.
    24. Galeotti, Andrea & Ghiglino, Christian & Squintani, Francesco, 2013. "Strategic information transmission networks," Journal of Economic Theory, Elsevier, vol. 148(5), pages 1751-1769.
    25. de Martí Beltran, Joan, 2009. "Matthew O. Jackson, Social and Economic Networks , Princeton University Press (2008)," Regional Science and Urban Economics, Elsevier, vol. 39(5), pages 644-645, September.
    26. Matthew O. Jackson & Brian W. Rogers, 2007. "Meeting Strangers and Friends of Friends: How Random Are Social Networks?," American Economic Review, American Economic Association, vol. 97(3), pages 890-915, June.
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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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