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Network Formation and Geography : Modelling Approaches, Underlying Conceptions, Recent and Promising Extensions

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  • Corinne Autant-Bernard

    (GATE Lyon Saint-Etienne - Groupe d'analyse et de théorie économique - CNRS : UMR5824 - Université Lumière - Lyon II - École Normale Supérieure - Lyon)

  • Cilem Selin Hazir

    (GATE Lyon Saint-Etienne - Groupe d'analyse et de théorie économique - CNRS : UMR5824 - Université Lumière - Lyon II - École Normale Supérieure - Lyon)

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    Abstract

    Due to the strong polarisation of economic activities in space and rise in collaborative behaviour, increasing attention has recently been devoted to the relationship between geography and network formation. The studies conducted on this topic reveal a high variation in terms of methodologies. Putting special emphasis on R&D networks, the aim of this chapter is to review the different methods and assess their ability to address the issues raised by the relationship between network and space. We first discuss the different facets of the relationship between geography and networks. Then, we detail the methodological approaches and their capability to test each effect of geography on network formation. We argue that the effect of distance on dyads have received the major attention so far, but the development of block modelling and top-down approaches opens new research perspectives on how distance or location might affect formation of more complex structures. Moreover, recent improvement in temporal models also offers also offers opportunities to better separate spatial effects from that of influence over time.

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    Bibliographic Info

    Paper provided by HAL in its series Working Papers with number halshs-00803536.

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    Date of creation: 22 Mar 2013
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    Handle: RePEc:hal:wpaper:halshs-00803536

    Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00803536
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    Related research

    Keywords: Social Network Analysis ; Stochastic Actor-based Models ; Gravity models ; Complex Network Analysis ; ERG ; Preferential Attachment Model;

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    1. Sandra Vinciguerra & Koen Frenken & Marco Valente, 2010. "The Geography of Internet Infrastructure: An Evolutionary Simulation Approach Based on Preferential Attachment," Urban Studies, Urban Studies Journal Limited, Urban Studies Journal Limited, vol. 47(9), pages 1969-1984, August.
    2. Jacques Mairesse & Laure Turner, 2005. "Measurement and Explanation of the Intensity of Co-publication in Scientific Research: An Analysis at the Laboratory Level," NBER Working Papers 11172, National Bureau of Economic Research, Inc.
    3. Sanjeev Goyal & Marco J. van der Leij & Jos� Luis Moraga-Gonzalez, 2006. "Economics: An Emerging Small World," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 114(2), pages 403-432, April.
    4. Stanley Wasserman & Philippa Pattison, 1996. "Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp," Psychometrika, Springer, Springer, vol. 61(3), pages 401-425, September.
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