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    Behavioural patterns in social networks

    Conte, A. and Di Cagno, D. and Sciubba, Emanuela (2015) Behavioural patterns in social networks. Economic Inquiry 53 (2), pp. 1331-1349. ISSN 0095-2583.

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    Abstract

    In this article, we focus on the analysis of individual decision-making for the formation of social networks, using experimentally generated data. We analyze the determinants of the individual demand for links under the assumption of agents' static expectations and identify patterns of behavior that correspond to three specific objectives: players propose links so as to maximize expected profits (myopic best response strategy); players attempt to establish the largest number of direct links (reciprocator strategy); and players maximize expected profits per direct link (opportunistic strategy). These strategies explain approximately 74% of the observed choices. We demonstrate that they are deliberately adopted and, by means of a finite mixture model, well identified and separated in our sample. (JEL C33, C35, C90, D85)

    Metadata

    Item Type: Article
    Additional Information: This is the peer reviewed version of the article, which has been published in final form at http://dx.doi.org/10.1111/ecin.12191. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Economics, Mathematics and Statistics
    Depositing User: Emanuela Sciubba
    Date Deposited: 25 Jan 2016 10:02
    Last Modified: 27 Jul 2019 16:06
    URI: http://eprints.bbk.ac.uk/id/eprint/14027

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