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Diffusion and targeting centrality

Author

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  • Yann Bramoullé

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique, Académie d'Aix-Marseille, CNRS - Centre National de la Recherche Scientifique)

  • Garance Genicot

    (Department of Economics, Georgetown University)

Abstract

This paper studies the dynamics of information diffusion within networks, encompassing both general and targeted dissemination. We first characterize the theoretical foundations of diffusion centrality. Next, we introduce two extensions of diffusion centrality: targeting centrality and reachability, that we believe to better capture situations involving targeted requests. We derive general explicit formulas for the computation of these novel centrality measures.

Suggested Citation

  • Yann Bramoullé & Garance Genicot, 2024. "Diffusion and targeting centrality," Post-Print hal-04718273, HAL.
    • Handle: RePEc:hal:journl:hal-04718273
    DOI: 10.1016/j.jet.2024.105920
    Note: View the original document on HAL open archive server: https://hal.science/hal-04718273v1
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    References listed on IDEAS

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    1. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    2. Francis Bloch & Matthew O. Jackson & Pietro Tebaldi, 2023. "Centrality measures in networks," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 61(2), pages 413-453, August.
    3. 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.
    4. Dequiedt, Vianney & Zenou, Yves, 2017. "Local and consistent centrality measures in parameterized networks," Mathematical Social Sciences, Elsevier, vol. 88(C), pages 28-36.
    5. 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.
    6. Zenou, Yves & Ballester, Coralio, 2012. "Key Player Policies When Contextual Effects Matter," CEPR Discussion Papers 8806, C.E.P.R. Discussion Papers.
    7. Rose, Christiern, 2019. "Optimal injection points for information diffusion," Economics Letters, Elsevier, vol. 175(C), pages 67-70.
    8. Francesco Drago & Friederike Mengel & Christian Traxler, 2020. "Compliance Behavior in Networks: Evidence from a Field Experiment," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 96-133, April.
    9. Cesi Cruz & Julien Labonne & Pablo Querubín, 2017. "Politician Family Networks and Electoral Outcomes: Evidence from the Philippines," American Economic Review, American Economic Association, vol. 107(10), pages 3006-3037, October.
    10. Douglas Guilbeault & Damon Centola, 2021. "Topological measures for identifying and predicting the spread of complex contagions," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    11. Leo Katz, 1953. "A new status index derived from sociometric analysis," Psychometrika, Springer;The Psychometric Society, vol. 18(1), pages 39-43, March.
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    More about this item

    Keywords

    Diffusion; Centrality; Political intermediation; Targeting;
    All these keywords.

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