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Jefficiency vs. Efficiency in Social Network Models

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  • Möbert, Jochen

Abstract

The mainly used welfare criterion in the social network literature is Bentham´s utilitarian concept. The shortcomings of this concept are well-known. We compare the outcomes of the utilitarian concept with the Nash social welfare function. By using a Taylor approximation we deduce a formula which allows the direct comparison of both concepts. The implications of welfare considerations of important network formation models are evaluated by using the multiplicative concept. We introduce a new symmetric connection model which is related to Nash´s welfare function in the same way as the original model is related to the utilitarian function. Based on the observation that heavy tail distributions like the power law distribution and the Pareto distribution can be explained by multiplicative structures we propose to use multiplicative utility functions in social network models. Furthermore, multiplicative utility and welfare functions together exhibit favorable characteristics both in normative and positive terms. Many empirically observed social networks have structures which are better modelled by multiplicative functions. From the normative perspective, multiplicative functions might be attractive since the Nash product introduces some form of justice.

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  • Möbert, Jochen, 2006. "Jefficiency vs. Efficiency in Social Network Models," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36779, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  • Handle: RePEc:dar:wpaper:36779
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/36779/
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    References listed on IDEAS

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    1. Jackson, Matthew O. & Wolinsky, Asher, 1996. "A Strategic Model of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 71(1), pages 44-74, October.
    2. Sanjeev Goyal & Marco J. van der Leij & José Luis Moraga-Gonzalez, 2006. "Economics: An Emerging Small World," Journal of Political Economy, University of Chicago Press, vol. 114(2), pages 403-432, April.
    3. Murat Yildizoglu & Nicolas Carayol & Pascale Roux, 2005. "Efficiency of Network Structures: The Needle in the Haystack," Post-Print hal-00160968, HAL.
    4. Venkatesh Bala & Sanjeev Goyal, 2000. "A Noncooperative Model of Network Formation," Econometrica, Econometric Society, vol. 68(5), pages 1181-1230, September.
    5. Möbert, Jochen, 2009. "Classification of Network Formation Models," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77450, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Nicolas Carayol & Pascale Roux & Murat Yildizoğlu, 2005. "Efficiency of network Structures : The Needle in the Haystack," Post-Print hal-00394419, HAL.
    7. Möbert, Jochen, 2006. "Classification of Network Formation Models," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36781, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Moebert, Jochen, 2006. "Classification of network formation models," Darmstadt Discussion Papers in Economics 160, Darmstadt University of Technology, Department of Law and Economics.
    9. Moebert, Jochen, 2006. "Classification of network formation models," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 26406, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Eran Hanany, 2001. "Ordinal Nash Social Welfare Function," Discussion Papers 1325, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    11. Angilella, Silvia & Greco, Salvatore & Lamantia, Fabio & Matarazzo, Benedetto, 2004. "Assessing non-additive utility for multicriteria decision aid," European Journal of Operational Research, Elsevier, vol. 158(3), pages 734-744, November.
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    1. Möbert, Jochen, 2006. "Classification of Network Formation Models," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36781, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Moebert, Jochen, 2006. "Classification of network formation models," Darmstadt Discussion Papers in Economics 160, Darmstadt University of Technology, Department of Law and Economics.
    3. Moebert, Jochen, 2006. "Classification of network formation models," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 26406, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

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