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Explaining the structure of inter-organizational networks using exponential random graph models: does proximity matter?

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  • Tom Broekel

    ()

  • Matte Hartog

    ()

Abstract

A key question raised in recent years is which factors determine the structure of inter-organizational networks. While the focus has primarily been on different forms of proximity between organizations, which are determinants at the dyad level, recently determinants at the node and structural level have been highlighted as well. To identify the relative importance of determinants at these three different levels for the structure of networks that are observable at only one point in time, we propose the use of exponential random graph models. Their usefulness is exemplified by an analysis of the structure of the knowledge network in the Dutch aviation industry in 2008 for which we find determinants at all different levels to matter. Out of different forms of proximity, we find that once we control for determinants at the node and structural network level, only social proximity remains significant.

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Bibliographic Info

Paper provided by Utrecht University, Section of Economic Geography in its series Papers in Evolutionary Economic Geography (PEEG) with number 1107.

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Length: 35 pages
Date of creation: Apr 2011
Date of revision: Apr 2011
Handle: RePEc:egu:wpaper:1107

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Keywords: exponential random graph models; inter-organizational network structure; network analysis; proximity; aviation industry; economic geography;

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References

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  1. Corinne Autant-Bernard & Pascal Billand & David Frachisse & Nadine Massard, 2007. "Social distance versus spatial distance in R&D cooperation: Empirical evidence from European collaboration choices in micro and nanotechnologies," Papers in Regional Science, Wiley Blackwell, vol. 86(3), pages 495-519, 08.
  2. Jarno Hoekman & Koen Frenken & Frank Oort, 2009. "The geography of collaborative knowledge production in Europe," The Annals of Regional Science, Springer, vol. 43(3), pages 721-738, September.
  3. Anne Ter Wal & Ron Boschma, 2009. "Applying social network analysis in economic geography: framing some key analytic issues," The Annals of Regional Science, Springer, vol. 43(3), pages 739-756, September.
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Cited by:
  1. Cilem Selin Hazir & Corinne Autant-Bernard, 2012. "Using Affiliation Networks to Study the Determinants of Multilateral Research Cooperation Some empirical evidence from EU Framework Programs in biotechnology," Working Papers 1212, Groupe d'Analyse et de Théorie Economique (GATE), Centre national de la recherche scientifique (CNRS), Université Lyon 2, Ecole Normale Supérieure.
  2. Tom Broekel & Matte Hartog, 2013. "Determinants of cross-regional R and D collaboration networks: an application of exponential random graph models," Working Papers on Innovation and Space 2013-04, Philipps University Marburg, Department of Geography.

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