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Using PageRank in the Analysis of Technological Progress Through Patents. An Illustration for Biotechnological Inventions

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  • Andreas Reinstaller
  • Peter Reschenhofer

Abstract

This paper examines whether PageRank algorithms are a valid instrument for the analysis of technical progress in specific technological fields by means of patent citation data. It provides evidence for patent data in biotechnology. Recent literature has been critical with regard to the use of PageRank for the analysis of scientific citation networks. The results reported in this paper indicate, however, that with some minor adaptations and careful interpretation of the results the algorithm can be used to capture some important stylised facts of technical progress and the importance of single patents relatively well especially if compared to indicators based on direct inward citations only.

Suggested Citation

  • Andreas Reinstaller & Peter Reschenhofer, 2017. "Using PageRank in the Analysis of Technological Progress Through Patents. An Illustration for Biotechnological Inventions," WIFO Working Papers 543, WIFO.
    • Handle: RePEc:wfo:wpaper:y:2017:i:543
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    References listed on IDEAS

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    1. Lanjouw, Jean O & Schankerman, Mark, 2001. "Characteristics of Patent Litigation: A Window on Competition," RAND Journal of Economics, The RAND Corporation, vol. 32(1), pages 129-151, Spring.
    2. Gamal Atallah & Gabriel Rodríguez, 2006. "Indirect patent citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 437-465, June.
    3. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    4. Bart Verspagen, 2007. "Mapping Technological Trajectories As Patent Citation Networks: A Study On The History Of Fuel Cell Research," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 93-115.
    5. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    6. Silverberg, Gerald & Verspagen, Bart, 2007. "The size distribution of innovations revisited: An application of extreme value statistics to citation and value measures of patent significance," Journal of Econometrics, Elsevier, vol. 139(2), pages 318-339, August.
    7. Alcácer, Juan & Gittelman, Michelle & Sampat, Bhaven, 2009. "Applicant and examiner citations in U.S. patents: An overview and analysis," Research Policy, Elsevier, vol. 38(2), pages 415-427, March.
    8. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
    9. Péter Érdi & Kinga Makovi & Zoltán Somogyvári & Katherine Strandburg & Jan Tobochnik & Péter Volf & László Zalányi, 2013. "Prediction of emerging technologies based on analysis of the US patent citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 225-242, April.
    10. David S. Abrams & Ufuk Akcigit & Jillian Grennan, 2013. "Patent Value and Citations: Creative Destruction or Strategic Disruption?," NBER Working Papers 19647, National Bureau of Economic Research, Inc.
    11. Silverberg, Gerald, 2002. "The discrete charm of the bourgeoisie: quantum and continuous perspectives on innovation and growth," Research Policy, Elsevier, vol. 31(8-9), pages 1275-1289, December.
    12. Dieter F. Kogler & David L. Rigby & Isaac Tucker, 2013. "Mapping Knowledge Space and Technological Relatedness in US Cities," European Planning Studies, Taylor & Francis Journals, vol. 21(9), pages 1374-1391, September.
    13. Bessen, James, 2008. "The value of U.S. patents by owner and patent characteristics," Research Policy, Elsevier, vol. 37(5), pages 932-945, June.
    14. Adam B. Jaffe & Gaétan de Rassenfosse, 2017. "Patent citation data in social science research: Overview and best practices," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(6), pages 1360-1374, June.
    15. Dietmar Harhoff & Francis Narin & F. M. Scherer & Katrin Vopel, 1999. "Citation Frequency And The Value Of Patented Inventions," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 511-515, August.
    16. Scherer, F. M. & Harhoff, Dietmar, 2000. "Technology policy for a world of skew-distributed outcomes," Research Policy, Elsevier, vol. 29(4-5), pages 559-566, April.
    17. Chen, P. & Xie, H. & Maslov, S. & Redner, S., 2007. "Finding scientific gems with Google’s PageRank algorithm," Journal of Informetrics, Elsevier, vol. 1(1), pages 8-15.
    18. Leo Katz, 1953. "A new status index derived from sociometric analysis," Psychometrika, Springer;The Psychometric Society, vol. 18(1), pages 39-43, March.
    19. Riitta Katila, 2000. "Using patent data to measure innovation performance," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 2(1/2/3), pages 180-193.
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    Cited by:

    1. Hans Georg Helmstädter & Anna Gehlke & Lukasz Hill & Bernd Klöver & Laura Wallor & Christoph Badelt & Matthias Firgo & Oliver Fritz & Kathrin Hofmann & Mark Horridge & Jürgen Janger & Peter Mayerhofer, 2020. "Perspektiven der wissenschaftlichen Metropolregion Hamburg – Eine vergleichende Analyse. Anhänge," WIFO Studies, WIFO, number 62513, February.
    2. Werner Hölzl & Susanne Bärenthaler-Sieber & Julia Bock-Schappelwein & Klaus S. Friesenbichler & Agnes Kügler & Andreas Reinstaller & Peter Reschenhofer & Bernhard Dachs & Martin Risak, 2019. "Digitalisation in Austria. State of Play and Reform Needs," WIFO Studies, WIFO, number 61892, February.
    3. N. N., 2020. "WIFO-Monatsberichte, Heft 9/2020," WIFO Monatsberichte (monthly reports), WIFO, vol. 93(9), September.
    4. Wifo, 2021. "WIFO-Monatsberichte, Heft 10/2021," WIFO Monatsberichte (monthly reports), WIFO, vol. 94(10), October.
    5. Jürgen Janger & Tim Slickers, 2023. "Wissensproduktion und Wissensverwertung in Österreich im internationalen Vergleich," WIFO Monatsberichte (monthly reports), WIFO, vol. 96(10), pages 699-714, October.
    6. Jürgen Janger & Anna Strauss-Kollin, 2020. "Die Leistungsfähigkeit des österreichischen Innovationssystems," WIFO Studies, WIFO, number 66555, February.
    7. Corredoira, Rafael A. & Goldfarb, Brent D. & Shi, Yuan, 2018. "Federal funding and the rate and direction of inventive activity," Research Policy, Elsevier, vol. 47(9), pages 1777-1800.
    8. N. N., 2020. "WIFO-Monatsberichte, Heft 10/2020," WIFO Monatsberichte (monthly reports), WIFO, vol. 93(10), October.

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    More about this item

    Keywords

    patent citations; technological progress; PageRank algorithm; biotechnology;
    All these keywords.

    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
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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