IDEAS home Printed from https://ideas.repec.org/p/hal/cesptp/hal-01309549.html
   My bibliography  Save this paper

Targeting and pricing in social networks

Author

Listed:
  • Francis Bloch

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

No abstract is available for this item.

Suggested Citation

  • Francis Bloch, 2016. "Targeting and pricing in social networks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01309549, HAL.
    • Handle: RePEc:hal:cesptp:hal-01309549
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Francis Bloch & Shaden Shabayek, 2020. "Targeting in social networks with anonymized information," Papers 2001.03122, arXiv.org.
    2. Bloch, Francis & Shabayek, Shaden, 2023. "Targeting in social networks with anonymized information," Games and Economic Behavior, Elsevier, vol. 141(C), pages 380-402.
    3. Nora, Vladyslav & Winter, Eyal, 2024. "Exploiting social influence in networks," Theoretical Economics, Econometric Society, vol. 19(1), January.
    4. Sebastiano Della Lena, 2019. "Non-Bayesian Social Learning and the Spread of Misinformation in Networks," Working Papers 2019:09, Department of Economics, University of Venice "Ca' Foscari".
    5. Luca Colombo & Paola Labrecciosa & Agnieszka Rusinowska, 2022. "A Dynamic Analysis of Criminal Networks," Documents de travail du Centre d'Economie de la Sorbonne 22006r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jun 2023.
    6. Kfir Eliaz & Ran Spiegler, 2020. "Incentive‐compatible advertising on nonretail platforms," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 323-345, June.
    7. Arthur Campbell & C. Matthew Leister & Yves Zenou, 2020. "Word‐of‐mouth communication and search," RAND Journal of Economics, RAND Corporation, vol. 51(3), pages 676-712, September.
    8. Zenou, Yves & Chen, Ying-Ju & Zhou, Junjie, 2020. "Network Topology and Market Structure," CEPR Discussion Papers 14495, C.E.P.R. Discussion Papers.
    9. Panebianco, Fabrizio & Verdier, Thierry & Zenou, Yves, 2016. "Innovation, Pricing and Targeting in Networks," CEPR Discussion Papers 11398, C.E.P.R. Discussion Papers.
    10. Elias Carroni & Paolo Pin & Simone Righi, 2020. "Bring a Friend! Privately or Publicly?," Management Science, INFORMS, vol. 66(5), pages 2269-2290, May.
    11. Atabek Atayev & Maarten Janssen, 2021. "Information Acquisition and Diffusion in Markets," Papers 2109.15288, arXiv.org.
    12. Li, Jian & Zhou, Junjie & Chen, Ying-Ju, 2022. "The limit of targeting in networks," Journal of Economic Theory, Elsevier, vol. 201(C).
    13. Chen, Ying-Ju & Zenou, Yves & Zhou, Junjie, 2022. "The impact of network topology and market structure on pricing," Journal of Economic Theory, Elsevier, vol. 204(C).
    14. Li, Jian & Zhou, Junjie & Chen, Ying-Ju, 2021. "The Limit of Targeting in Networks," ISU General Staff Papers 202112081957590000, Iowa State University, Department of Economics.
    15. Konc, Théo & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2021. "The social multiplier of environmental policy: Application to carbon taxation," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    16. Atayev, Atabek & Janssen, Maarten C. W., 2021. "Information acquisition and diffusion in markets," ZEW Discussion Papers 21-091, ZEW - Leibniz Centre for European Economic Research.
    17. Alexei Parakhonyak & Nick Vikander, 2019. "Optimal Sales Schemes for Network Goods," Management Science, INFORMS, vol. 65(2), pages 819-841, February.
    18. Jadbabaie, Ali & Kakhbod, Ali, 2019. "Optimal contracting in networks," Journal of Economic Theory, Elsevier, vol. 183(C), pages 1094-1153.

    More about this item

    Keywords

    social networks;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:cesptp:hal-01309549. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.