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A Novel Comprehensive Index of Network Position and Node Characteristics in Knowledge Networks: Ego Network Quality

In: The Geography of Networks and R&D Collaborations

Author

Listed:
  • Tamás Sebestyén

    (University of Pécs)

  • Attila Varga

    (University of Pécs)

Abstract

While developing the comprehensive index of Ego Network Quality (ENQ) Sebestyén and Varga (Ann Reg Sci, doi:10.1007/s00168-012-0545-x, 2013) integrates techniques mainly applied in a-spatial studies with solutions implemented in spatial analyses. Following the theory of innovation they applied a systematic scheme for weighting R&D in partner regions with network features frequently appearing in several (mostly non-spatial) studies. The resulting ENQ index thus reflects both network position and node characteristics in knowledge networks. Applying the ENQ index in an empirical knowledge production function analysis Sebestyén and Varga (Ann Reg Sci, doi: 10.1007/s00168-012-0545-x, 2013) demonstrate the validity of ENQ in measuring interregional knowledge flow impacts on regional knowledge generation. The aim of this chapter is twofold. First we show that ENQ is an integrated measure of network position and node characteristics very much resembling to the solution applied in the well-established index of eigenvector centrality. Second, we test the robustness of the weighting schemes in ENQ via simulation and empirical regression analyses.

Suggested Citation

  • Tamás Sebestyén & Attila Varga, 2013. "A Novel Comprehensive Index of Network Position and Node Characteristics in Knowledge Networks: Ego Network Quality," Advances in Spatial Science, in: Thomas Scherngell (ed.), The Geography of Networks and R&D Collaborations, edition 127, chapter 0, pages 71-97, Springer.
    • Handle: RePEc:spr:adspcp:978-3-319-02699-2_5
    DOI: 10.1007/978-3-319-02699-2_5
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    Cited by:

    1. Varga, Attila & Sebestyén, Tamás, 2015. "Innováció Kelet-Közép-Európában. Az EU keretprogramjaiban való részvétel szerepe az innovációs teljesítményben [Innovation in Central East Europe. The role played in innovation performance by parti," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 881-908.

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