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The Sixth Framework Program as an Affiliation Network: Representation and Analysis

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  • Billand, Pascal
  • Frachisse, David
  • Massard, Nadine

Abstract

In this paper, we compare two different representations of Framework Programs as affiliation network: “One-mode networks”' and “Two-mode networks”'. The aim of this article is to show that the choice of the representation has an impact on the analysis of the networks and on the results of the analysis. In order to support our proposals, we present two forms of representation and different indicators used in the analysis. We study the network of the 6th Framework Program using the two forms of representation. In particular, we show that the identification of the central nodes is sensitive to the chosen representation. Furthermore, the nodes forming the core of the network vary according to the representation. These differences of results are important as they can influence innovation policies.

Suggested Citation

  • Billand, Pascal & Frachisse, David & Massard, Nadine, 2008. "The Sixth Framework Program as an Affiliation Network: Representation and Analysis," Coalition Theory Network Working Papers 6217, Fondazione Eni Enrico Mattei (FEEM).
    • Handle: RePEc:ags:feemct:6217
    DOI: 10.22004/ag.econ.6217
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    1. Coralio Ballester & Antoni Calvó-Armengol & Yves Zenou, 2006. "Who's Who in Networks. Wanted: The Key Player," Econometrica, Econometric Society, vol. 74(5), pages 1403-1417, September.
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    3. 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.
    4. Hojman, Daniel & Szeidl, Adam, 2006. "Core and Periphery in Endogenous Networks," Working Paper Series rwp06-022, Harvard University, John F. Kennedy School of Government.
    5. Roijakkers, Nadine & Hagedoorn, John, 2006. "Inter-firm R&D partnering in pharmaceutical biotechnology since 1975: Trends, patterns, and networks," Research Policy, Elsevier, vol. 35(3), pages 431-446, April.
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    Cited by:

    1. Biggiero, Lucio & Angelini, Pier Paolo, 2015. "Hunting scale-free properties in R&D collaboration networks: Self-organization, power-law and policy issues in the European aerospace research area," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 21-43.
    2. Thomas Scherngell & Michael J. Barber, 2009. "Spatial interaction modelling of cross‐region R&D collaborations: empirical evidence from the 5th EU framework programme," Papers in Regional Science, Wiley Blackwell, vol. 88(3), pages 531-546, August.

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    More about this item

    Keywords

    Institutional and Behavioral Economics; Research and Development/Tech Change/Emerging Technologies;

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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