Network Formation and Geography : Modelling Approaches, Underlying Conceptions, Recent and Promising Extensions
AbstractDue 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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Date of creation: 22 Mar 2013
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Social Network Analysis ; Stochastic Actor-based Models ; Gravity models ; Complex Network Analysis ; ERG ; Preferential Attachment Model;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-04-06 (All new papers)
- NEP-CDM-2013-04-06 (Collective Decision-Making)
- NEP-GEO-2013-04-06 (Economic Geography)
- NEP-NET-2013-04-06 (Network Economics)
- NEP-URE-2013-04-06 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Sandra Vinciguerra & Koen Frenken & Marco Valente, 2010. "The Geography of Internet Infrastructure: An evolutionary simulation approach based on preferential attachment," Papers in Evolutionary Economic Geography (PEEG), Utrecht University, Section of Economic Geography 1006, Utrecht University, Section of Economic Geography, revised Apr 2010.
- 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.
- 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.
- Sanjeev Goyal & Marco van der Leij & José Luis Moraga-Gonzàlez, 2004. "Economics: An Emerging Small World?," Working Papers, Fondazione Eni Enrico Mattei 2004.84, Fondazione Eni Enrico Mattei.
- Sanjeev Goyal & Marco van der Leij & Jose Luis Moraga, 2004. "Economics: An Emerging Small World?," Tinbergen Institute Discussion Papers 04-001/1, Tinbergen Institute.
- Sanjeev Goyal & Marco van der Leij & José Luis Moraga Gonzales, 2004. "Economics: An Emerging Small World?," CESifo Working Paper Series 1287, CESifo Group Munich.
- 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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