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

  • Corinne Autant-Bernard
  • Çilem Selin Hazir
Chapter
Part of the Advances in Spatial Science book series (ADVSPATIAL)

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 opportunities to better separate spatial effects from that of influence over time.

Keywords

Network Formation Physical Distance Social Locale Spatial Econometric Graph Theoretic Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This research has received funding from the European Community’s Seventh Framework Programme under grant agreement no. 266834.

References

  1. Ahuja G, Soda G, Zaheer A (2012) The genesis and dynamics of organizational networks. Organ Sci 23:434–448, http://didattica.unibocconi.it/mypage/upload/ CrossRefGoogle Scholar
  2. Autant-Bernard C (2012) Spatial econometrics of innovation: recent contributions and research perspectives. Spat Econ Anal 7(4):405–421CrossRefGoogle Scholar
  3. Autant-Bernard C et al (2007) Social distance versus spatial distance in R&D cooperation: empirical evidence from European collaboration choices in micro and nanotechnologies. Pap Reg Sci 86(3):495–519CrossRefGoogle Scholar
  4. Balland PA (2012) Proximity and the evolution of collaboration networks: evidence from research and development projects within the Global Navigation Satellite System (GNSS) industry. Reg Stud 46(6):741–756Google Scholar
  5. Barabási AL, Albert R (1999) Emergence of scaling in random networks. Science 286(5439):509–512CrossRefGoogle Scholar
  6. Boschma RA (2005) Proximity and innovation: a critical assessment. Reg Stud 39(1):61–74CrossRefGoogle Scholar
  7. Bramoullé Y, Fortin B (2009) The econometrics of social networks, Centre Interuniversitaire sur le Risque, les Politiques Économiques et l’Emploi working papers 09-13. http://www.cirpee.org/fileadmin/documents/Cahiers_2009/CIRPEE09-13.pdf
  8. Breschi S, Lenzi C (2011) Net and the city. Co‐invention networks and the inventive productivity of US cities, Mimeo. http://cep.lse.ac.uk/seminarpapers/09-12-11-SB.pdf
  9. Carayol N, Roux P (2007) The strategic formation of inter-individual collaboration networks: emprical evidence from co-invention patterns. Annales d’Economie et de Statistiques 87–88:75–301Google Scholar
  10. Cranmer SJ, Desmarais BA (2011) Inferential network analysis with exponential random graph models. Politi Anal 19(1):66–86CrossRefGoogle Scholar
  11. Crespo J, Suire R, Vicente J (2013) Lock-in or lock-out? How structural properties of knowledge networks affect regional resilience. J Econ Geogr, (forthcoming). http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2034901
  12. Daraganova G et al (2012) Networks and geography: modelling community network structures as the outcome of both spatial and network processes. Soc Netw 34(1):6–17CrossRefGoogle Scholar
  13. Erdös P, Renyi A (1959) On random graphs. I. Publicationes Mathematicae Debrecen 6:290–297Google Scholar
  14. Feldman MP (1993) An examination of the geography of innovation. Ind Corp Change 2(3):451–470Google Scholar
  15. Feldman MP, Florida R (1994) The geographic sources of innovation: technological infrastructure and product innovation in the United States. Ann Assoc Am Geogr 84(2):210–229CrossRefGoogle Scholar
  16. Frachisse D (2010) L’analyse des réseaux sociaux appliquée aux PCRDT: Enjeux méthodologiques et outils pour l’évaluation. Dissertation, CREUSET, Université de Saint-EtienneGoogle Scholar
  17. Frank O, Strauss D (1986) Markov graphs. J Am Stat Assoc 81(395):832–842CrossRefGoogle Scholar
  18. Gay B, Dousset B (2005) Innovation and network structural dynamics: study of the alliance network of a major sector of the biotechnology industry. Res Policy 34:1457–1475CrossRefGoogle Scholar
  19. Geuna A (1998) Determinants of university participation in EU-funded R&D cooperative projects. Res Policy 26:677–687CrossRefGoogle Scholar
  20. Goyal S, van der Leij MJ, Moraga‐González JL (2006) Economics: an emerging small world. J Politi Econ 114(2):403–412CrossRefGoogle Scholar
  21. Granovetter M (1985) Economic action and social structure: the problem of embeddedness. Am J Sociol 91(3):481–510CrossRefGoogle Scholar
  22. Hanneke S, Fu W, Xing EP (2010) Discrete temporal models of social network. Electron J Stat 4:585–605CrossRefGoogle Scholar
  23. Hoekman J, Frenken K, van Oort F (2009) The geography of collaborative knowledge production in Europe. Ann Reg Sci 43(3):721–738CrossRefGoogle Scholar
  24. Hoekman J, Frenken K, Tijsen RJW (2010) Research collaboration at a distance: changing spatial patterns of scientific collaboration within Europe. Res Policy 39:662–673CrossRefGoogle Scholar
  25. Jackson MO, Wolinsky A (1996) A strategic model of social and economic networks. J Econ Theory 71:44–74CrossRefGoogle Scholar
  26. Johnson C, Gilles R (2000) Spatial social networks. Rev Econ Des 5:273–299Google Scholar
  27. Krivitsky PN (2012) Exponential-family random graph models for valued networks. Electron J Stat 6:1100–1128CrossRefGoogle Scholar
  28. Krivitsky PN, Handcock MS (2010) A separable model for dynamic networks. arXiv:1011.1937v1Google Scholar
  29. Maggioni MA, Nosvelli M, Uberti TE (2007) Space vs. Networks in the geography of innovation: a European analysis. Pap Reg Sci 86:471–493CrossRefGoogle Scholar
  30. Mairesse J, Turner L (2005) Measurement and explanation of the intensity of co-publication in scientific research: an analysis at the laboratory level. NBER working paper 11172Google Scholar
  31. Massard N, Mehier C (2009) Proximity and innovation through an “Accessibility to Knowledge” Lens. Reg Stud 43(1):77–88Google Scholar
  32. Newman MEJ (2001) Clustering and preferential attachment in growing networks. Phys Rev E 64(2):025102Google Scholar
  33. Nowicki K, Snijders T (2001) Estimation and prediction for stochastic blockstructures. J Am Stat Assoc 96:1077–1087CrossRefGoogle Scholar
  34. Paier M, Scherngell T (2008) Determinants of collaboration in European R&D networks: empirical evidence from a binary choice model perspective. NEMO working paper #10Google Scholar
  35. Park J, Newman MEJ (2004) The statistical mechanics of networks. Phys Rev E 70(6):066117Google Scholar
  36. Pattison P, Robins G (2002) Neighbourhood-based models for social networks. Sociol Methodol 32:301–337CrossRefGoogle Scholar
  37. Polanyi M (1966) The tacit dimension. Doubleday, Garden City/New YorkGoogle Scholar
  38. Ponds R, van Oort F, Frenken K (2007) The geographical and institutional proximity of research collaboration. Pap Reg Sci 86(3):423–443CrossRefGoogle Scholar
  39. Powell WW, Koput KW, Smith-Doerr L (1996) Inter-organizational collaboration and the locus of innovation: networks of learning in biotechnology. Adm Sci Q 41(1):116–145CrossRefGoogle Scholar
  40. Powell WW et al (2005) Network dynamics and field evolution: the growth of inter-organizational collaboration in the life sciences. Am J Sociol 110(4):1132–1205CrossRefGoogle Scholar
  41. Robins G et al (2007) An introduction to exponential random graph (p*) models for social networks. Soc Netw 29:173–191CrossRefGoogle Scholar
  42. Scherngell T, Barber M (2009) Spatial interaction modelling of cross-region R&D collaborations: empirical evidence from the 5th EU Framework Programme. Pap Reg Sci 88(3):531–546Google Scholar
  43. Scherngell T, Lata R (2011) Towards an integrated European Research Area? Findings from Eigenvector spatially filtered spatial interaction models using European Framework Programme data, Papers in regional science. doi: 10.1111/j.1435-5957.2012.00419.x
  44. Snijders T et al (2010) Introduction to stochastic actor-based models for network dynamics. Soc Netw 3:44–60CrossRefGoogle Scholar
  45. Steglich C et al (2010) Dynamic networks and behaviour: separating selection from influence. Sociol Methodol 40(1):329–393CrossRefGoogle Scholar
  46. Ter Wal ALJ (2013) The dynamics of the inventor network in German biotechnology: geographical proximity versus triadic closure. J Econ Geogr. doi: 10.1093/jeg/lbs063 Google Scholar
  47. Vinciguerra S, Frenken K, Valente M (2010) The geography of internet infrastructure: an evolutionary simulation approach based on preferential attachment. Papers in evolutionary economic geography 10.06, Utrecht University Urban and Regional Research CentreGoogle Scholar
  48. Wasserman S, Pattison P (1996) Logit models and logistic regression for social networks: I. An introduction to Markov graphs and p*. Psychometrika 61(3):401–425CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Corinne Autant-Bernard
    • 1
    • 2
    • 3
  • Çilem Selin Hazir
    • 1
    • 2
    • 3
  1. 1.Université de LyonLyonFrance
  2. 2.Université Jean MonnetSaint-EtienneFrance
  3. 3.CNRS, GATE Lyon Saint-EtienneEcullyFrance

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