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The network of scientific collaborations within the European framework programme

Author

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  • Almendral, Juan A.
  • Oliveira, J.G.
  • López, L.
  • Mendes, J.F.F.
  • Sanjuán, Miguel A.F.

Abstract

We use the emergent field of complex networks to analyze the network of scientific collaborations between entities (universities, research organizations, industry related companies,…) which collaborate in the context of the so-called framework programme. We demonstrate here that it is a scale-free network with an accelerated growth, which implies that the creation of new collaborations is encouraged. Moreover, these collaborations possess hierarchical modularity. Likewise, we find that the information flow depends on the size of the participants but not on geographical constraints.

Suggested Citation

  • Almendral, Juan A. & Oliveira, J.G. & López, L. & Mendes, J.F.F. & Sanjuán, Miguel A.F., 2007. "The network of scientific collaborations within the European framework programme," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 675-683.
    • Handle: RePEc:eee:phsmap:v:384:y:2007:i:2:p:675-683
    DOI: 10.1016/j.physa.2007.05.049
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    References listed on IDEAS

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    1. Dorogovtsev, S.N. & Mendes, J.F.F., 2003. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780198515906.
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    Cited by:

    1. Luis Antonio Orozco Castro, 2015. "Diversidad y heterogeneidad en redes de colaboración científica. Un estudio de las escuelas de administración de América Latina," Books, Universidad Externado de Colombia, Facultad de Administración de Empresas, edition 1, number 44, August.
    2. Guffarth, Daniel & Barber, Michael J., 2014. "Network evolution, success, and regional development in the European aerospace industry," FZID Discussion Papers 96-2014, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    3. Leifeld, Philip, 2018. "Polarization in the social sciences: Assortative mixing in social science collaboration networks is resilient to interventions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 510-523.
    4. Oliveira, J.G. & Dorogovtsev, S.N. & Mendes, J.F.F., 2023. "Statistics of remote regions of networks," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    5. Płoszaj, Adam & Wojnar, Katarzyna, 2009. "Network analysis of co-operation between research institutions - example of ESPON Programme," MPRA Paper 45433, University Library of Munich, Germany.
    6. 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.
    7. Marjan Cugmas & Franc Mali & Aleš Žiberna, 2020. "Scientific collaboration of researchers and organizations: a two-level blockmodeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2471-2489, December.

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