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Influence networks

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  • LOPEZ-PINTADO, Dunia

    ()
    (Universidad Pablo de Olavide, Department of Economics, Sevilla, Spain; Université catholique de Louvain, CORE, B-1348 Louvain-la-Neuve, Belgium)

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    Abstract

    Some behaviors, ideas or technologies spread and become persistent in society, whereas others vanish. This paper analyzes the role of social influence in determining such distinct collective outcomes. Agents are assumed to acquire information from others through a certain sampling process that generates an influence network, and they use simple rules to decide whether to adopt or not depending on the observed sample. We characterize, as a function of the primitives of the model, the diffusion threshold (i.e., the spreading rate above which the adoption of the new behavior becomes persistent in the population) and the endemic state (i.e., the fraction of adopters in the stationary state of the dynamics). We find that the new behavior will easily spread in the population if there is a high correlation between how influential (visible) and how easily influenced an agent is, which is determined by the sampling process and the adoption rule. We also analyze how the density and variance of the out-degree distribution affect the diffusion threshold and the endemic state.

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    File URL: http://www.uclouvain.be/cps/ucl/doc/core/documents/coredp2010_83web.pdf
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    Bibliographic Info

    Paper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers with number 2010083.

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    Date of creation: 01 Dec 2010
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    Handle: RePEc:cor:louvco:2010083

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    Keywords: social influence; networks; diffusion threshold; endemic state;

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