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A structural analysis of the patent citation network by the k-shell decomposition method

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  • Angelou, Konstantinos
  • Maragakis, Michael
  • Argyrakis, Panos

Abstract

We study the patent citation network by means of structural analysis. Specifically, we use the k-shell decomposition method to reveal hidden structural properties. We aim to identify the characteristics of the most important nodes in the network, as well as extract any existing patterns in the connectedness of these nodes. We examine properties of the nodes such as the geographic origin and the thematic area they belong. Results yield unexpected information on which are the most important nodes in the network, and how these nodes are geographically and thematically distributed.

Suggested Citation

  • Angelou, Konstantinos & Maragakis, Michael & Argyrakis, Panos, 2019. "A structural analysis of the patent citation network by the k-shell decomposition method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 476-483.
    • Handle: RePEc:eee:phsmap:v:521:y:2019:i:c:p:476-483
    DOI: 10.1016/j.physa.2019.01.063
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    References listed on IDEAS

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    1. Juan Alcácer & Michelle Gittelman, 2006. "Patent Citations as a Measure of Knowledge Flows: The Influence of Examiner Citations," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 774-779, November.
    2. Karvonen, Matti & Kässi, Tuomo, 2013. "Patent citations as a tool for analysing the early stages of convergence," Technological Forecasting and Social Change, Elsevier, vol. 80(6), pages 1094-1107.
    3. S. Redner, 1998. "How popular is your paper? An empirical study of the citation distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 4(2), pages 131-134, July.
    4. Criscuolo, Paola & Verspagen, Bart, 2008. "Does it matter where patent citations come from? Inventor vs. examiner citations in European patents," Research Policy, Elsevier, vol. 37(10), pages 1892-1908, December.
    5. Jarno Hoekman & Koen Frenken & Frank Oort, 2009. "The geography of collaborative knowledge production in Europe," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 721-738, September.
    6. He, Xuan & Zhao, Hai & Cai, Wei & Li, Guang-Guang & Pei, Fan-Dong, 2015. "Analyzing the structure of earthquake network by k-core decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 34-43.
    7. Young-Ho Eom & Santo Fortunato, 2011. "Characterizing and Modeling Citation Dynamics," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-7, September.
    8. José Luis Ortega, 2011. "Collaboration patterns in patent networks and their relationship with the transfer of technology: the case study of the CSIC patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 657-666, June.
    9. Briggs, Kristie, 2015. "Co-owner relationships conducive to high quality joint patents," Research Policy, Elsevier, vol. 44(8), pages 1566-1573.
    10. Engelsman, E. C. & van Raan, A. F. J., 1994. "A patent-based cartography of technology," Research Policy, Elsevier, vol. 23(1), pages 1-26, January.
    11. Maurseth, Per Botolf & Verspagen, Bart, 2002. " Knowledge Spillovers in Europe: A Patent Citations Analysis," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(4), pages 531-545, December.
    12. Per Botolf Maurseth & Bart Verspagen, 2002. "Knowledge Spillovers in Europe: A Patent Citations Analysis," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(4), pages 531-545, December.
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    Cited by:

    1. Liu, Weiwei & Song, Yifan & Bi, Kexin, 2021. "Exploring the patent collaboration network of China's wind energy industry: A study based on patent data from CNIPA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    2. Angelou, Konstantinos & Maragakis, Michael & Kosmidis, Kosmas & Argyrakis, Panos, 2020. "A hybrid model for the patent citation network structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).

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