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Identifying Geographic Clusters: A Network Analytic Approach

Author

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  • Catini, Roberto
  • Karamshuk, Dmytro
  • Penner, Orion
  • Riccaboni, Massimo

Abstract

In recent years there has been a growing interest in the role of networks and clusters in the global economy. Despite being a popular research topic in economics, sociology and urban studies, geographical clustering of human activity has often studied been by means of predetermined geographical units such as administrative divisions and metropolitan areas. This approach is intrinsically time invariant and it does not allow one to differentiate between different activities. Our goal in this paper is to present a new methodology for identifying clusters, that can be applied to different empirical settings. We use a graph approach based on k-shell decomposition to analyze world biomedical research clusters based on PubMed scientific publications. We identify research institutions and locate their activities in geographical clusters. Leading areas of scientific production and their top performing research institutions are consistently identified at different geographic scales.

Suggested Citation

  • Catini, Roberto & Karamshuk, Dmytro & Penner, Orion & Riccaboni, Massimo, 2015. "Identifying Geographic Clusters: A Network Analytic Approach," MPRA Paper 64454, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:64454
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    File URL: https://mpra.ub.uni-muenchen.de/64454/1/final-preprint.pdf
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    References listed on IDEAS

    as
    1. Jason Owen-Smith & Massimo Riccaboni & Fabio Pammolli & Walter W. Powell, 2002. "A Comparison of U.S. and European University-Industry Relations in the Life Sciences," Management Science, INFORMS, vol. 48(1), pages 24-43, January.
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    Cited by:

    1. Neave O'Clery & Eoin Flaherty & Stephen Kinsella, 2019. "Modular structure in labour networks reveals skill basins," Papers 1909.03379, arXiv.org.
    2. Luca Verginer & Massimo Riccaboni, 2018. "Brain-Circulation Network: The Global Mobility of the Life Scientists," Working Papers 10/2018, IMT Institute for Advanced Studies Lucca, revised Oct 2018.
    3. John Gibson, 2018. "The Micro-Geography of Academic Research:How Distinctive is Economics?," Working Papers in Economics 18/03, University of Waikato.
    4. Neave O'Clery & Samuel Heroy & Francois Hulot & Mariano Beguerisse-D'iaz, 2019. "Unravelling the forces underlying urban industrial agglomeration," Papers 1903.09279, arXiv.org, revised Jun 2019.
    5. repec:gam:jsusta:v:10:y:2018:i:11:p:4179-:d:182518 is not listed on IDEAS
    6. Marion Maisonobe & Bastien Bernela, 2019. "Exploring the Scope of a Cross-regional Knowledge Network. The Case of a Green Chemistry Research Federation in France," Working Papers hal-02053595, HAL.

    More about this item

    Keywords

    innovation clusters; network analysis; bio-pharmaceutical industry;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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