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The co-evolution of knowledge and collaboration networks: the role of the technology life-cycle

Author

Listed:
  • J. van Der Pol

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Paul Rameshkoumar

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

Abstract

The aim of the paper is to show how the transition from the emergence of a technology to its development phase impacts the evolution of the structure of the collaboration network. In order to identify these first phases of the life cycle of the technology a method is developed based on the International Patent Classification. Using this method, we identify when a technology transitions from an emerging technology to a stage in which applications of the technology are found. We then compare the moment at which this transition occurs to the evolution of the collaboration network for the same technology and show that there is a significant change in the structure of the network when this transition occurs.

Suggested Citation

  • J. van Der Pol & Jean-Paul Rameshkoumar, 2018. "The co-evolution of knowledge and collaboration networks: the role of the technology life-cycle," Post-Print hal-02269484, HAL.
    • Handle: RePEc:hal:journl:hal-02269484
    DOI: 10.1007/s11192-017-2579-4
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    Cited by:

    1. Ali Tosyali & Behnam Tavakkol, 2024. "A node-based index for clustering validation of graph data," Annals of Operations Research, Springer, vol. 341(1), pages 197-221, October.
    2. Mohamad Alghamdi, 2020. "Economics Performance Under Endogenous Knowledge Spillovers," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(2), pages 175-192, June.
    3. Thomas Rotolo & Scott Frickel, 2019. "When disasters strike environmental science: a case–control study of changes in scientific collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 301-317, July.
    4. Johannes van der Pol & Jean-Paul Rameshkoumar, 2021. "A method to reduce false positives in a patent query," Bordeaux Economics Working Papers 2021-05, Bordeaux School of Economics (BSE).
    5. Mohamad Alghamdi, 2023. "Forming Stable R&D Networks in Different Market Structures," Annals of Economics and Finance, Society for AEF, vol. 24(1), pages 91-117, May.
    6. Angelou, K. & Maragakis, M. & Kosmidis, K. & Argyrakis, P., 2021. "The evolution of triangular research and innovation collaborations in the European area," Journal of Informetrics, Elsevier, vol. 15(3).
    7. Johannes Pol, 2019. "Introduction to Network Modeling Using Exponential Random Graph Models (ERGM): Theory and an Application Using R-Project," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 845-875, October.
    8. Patrick Wolf & Tobias Buchmann, 2021. "Analyzing development patterns in research networks and technology," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 55-81, April.
    9. Shino Iwami & Arto Ojala & Chihiro Watanabe & Pekka Neittaanmäki, 2020. "A bibliometric approach to finding fields that co-evolved with information technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 3-21, January.

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