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

  • Tamás Sebestyén
  • Attila Varga
Chapter
Part of the Advances in Spatial Science book series (ADVSPATIAL)

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.

Keywords

Cluster Coefficient Knowledge Level Preferential Attachment Knowledge Network Average Path Length 
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

The research leading to this paper has received funding from the Hungarian Academy of Sciences (n° 14121: MTA-PTE Innovation and Economic Growth Research Group) and OTKA (OTKA-K101160). The authors also wish to express their thanks to the useful comments by Nicolas Carayol, Claude Raynaut, Frank van Oort and Mario Maggioni.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.MTA-PTE Innovation and Economic Growth Research Group and Department of Economics and Regional Studies, Faculty of Business and EconomicsUniversity of PécsPécsHungary
  2. 2.Department of Economics and Regional Studies and MTA-PTE Innovation and Economic Growth Research GroupUniversity of PécsPécsHungary

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