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Behavioural patterns in social networks

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Author Info

  • Anna Contea

    (Max Planck Institute of Economics, Jena)

  • Daniela T. Di Cagno

    (LUISS University, Rome)

  • Emanuela Sciubbad

    (Birkbeck College, University of London)

Abstract

In this paper, we focus on the analysis of individual decision making for the formation of social networks, using experimentally generated data. We first analyse the determinants of the individual demand for links under the assumption of agents' static expectations. The results of this exercise subsequently allow us to identify patterns of behaviour that can be subsumed in three strategies of link formation: 1) reciprocator strategy - players propose links to those from whom they have received link proposals in the previous round; 2) myopic best response strategy - players aim to profit from maximisation; 3) opportunistic strategy - players reciprocate link proposals to those who have the largest number of connections. We find that these strategies explain approximately 76% of the observed choices. We finally estimate a mixture model to highlight the proportion of the population who adopt each of these strategies.

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Bibliographic Info

Paper provided by Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics in its series Jena Economic Research Papers with number 2011-060.

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Date of creation: 20 Dec 2011
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Handle: RePEc:jrp:jrpwrp:2011-060

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Keywords: Network formation; Experiments; Multivariate probit models; Mixture models;

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