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Social Networks

Author

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  • de Marti, Joan

    (Universitat Pompeu Fabra)

  • Zenou, Yves

    (Research Institute of Industrial Economics (IFN))

Abstract

We survey the literature on social networks by putting together the economics, sociological and physics/applied mathematics approaches, showing their similarities and differences. We expose, in particular, the two main ways of modeling network formation. While the physics/applied mathematics approach is capable of reproducing most observed networks, it does not explain why they emerge. On the contrary, the economics approach is very precise in explaining why networks emerge but does a poor job in matching real-world networks. We also analyze behaviors on networks, which take networks as given and focus on the impact of their structure on individuals’ outcomes. Using a game-theoretical framework, we then compare the results with those obtained in sociology.

Suggested Citation

  • de Marti, Joan & Zenou, Yves, 2009. "Social Networks," Working Paper Series 816, Research Institute of Industrial Economics.
    • Handle: RePEc:hhs:iuiwop:0816
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    Citations

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    Cited by:

    1. Marco Mantovani & Georg Kirchsteiger & Ana Mauleon & Vincent Vannetelbosch, 2011. "Myopic or Farsighted? An Experiment on Network Formation," Working Papers 2011.45, Fondazione Eni Enrico Mattei.
    2. Michele Pellizzari, 2010. "Do Friends and Relatives Really Help in Getting a Good Job?," ILR Review, Cornell University, ILR School, vol. 63(3), pages 494-510, April.
    3. Machikita, Tomohiro, 2006. "Are Job Networks Localized in a Developing Economy? Search Methods for Displaced Workers in Thailand," IDE Discussion Papers 84, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    4. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves & Lee, Lung-Fei, 2011. "Criminal Networks: Who is the Key Player?," Research Papers in Economics 2011:7, Stockholm University, Department of Economics.
    5. Laurent Davezies & Xavier D'Haultfoeuille & Denis Fougère, 2009. "Identification of peer effects using group size variation," Econometrics Journal, Royal Economic Society, vol. 12(3), pages 397-413, November.
    6. David, Quentin & Janiak, Alexandre & Wasmer, Etienne, 2008. "Local Social Capital and Geographical Mobility: A Theory," IZA Discussion Papers 3668, Institute of Labor Economics (IZA).
    7. Atabati, Omid & Farzad, Babak, 2014. "A strategic model for network formation," MPRA Paper 62529, University Library of Munich, Germany.
    8. David, Quentin & Janiak, Alexandre & Wasmer, Etienne, 2008. "Local Social Capital and Geographical Mobility: Some Empirics and a Conjecture on the Nature of European Unemployment," IZA Discussion Papers 3669, Institute of Labor Economics (IZA).
    9. Francis Bloch & Nicolas Quérou, 2008. "Pricing in networks," Working Papers hal-00356356, HAL.

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    More about this item

    Keywords

    Random Graph; Game Theory; Centrality Measures; Network Formation; Weak;
    All these keywords.

    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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