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Developmental tendencies in the academic field of intellectual property through the identification of invisible colleges

Author

Listed:
  • Guadalupe Palacios-Núñez

    (Universidad Michoacana de San Nicolás de Hidalgo)

  • Gabriel Vélez-Cuartas

    (Universidad de Antioquia)

  • Juan D. Botero

    (Universidad de Antioquia)

Abstract

Intellectual property became a relevant academic cross-disciplinary field in an international context with the demand for the global governance of knowledge. However, the degree of consolidation of cross-disciplinary academic communities is not clear. To determine how closely related are these communities, this paper proposes a mixed methodology to find invisible colleges in the production of intellectual property. Scientific articles from 1994 to 2016 were extracted from web of science, taking into account the signature of the agreement on trade-related aspects of intellectual property rights in the early 1990s. A total of 1580 papers were processed through bibliographic coupling network analysis. A special technique was applied, which combines algorithms of community detection and defines a population of articles through thresholds of shared references. To contrast the invisible colleges that emerged with the existence of formal institutional relations, a qualitative tracking of the authors was made with respect to their institutional affiliation, lines of research, and meeting places. Both methods show that the subjects of interest can be grouped into 13 thematic modules related to the intellectual property field. Even though most are related to law and economics, there are weak linkages between disciplines which could indicate the construction of a cross-disciplinary field.

Suggested Citation

  • Guadalupe Palacios-Núñez & Gabriel Vélez-Cuartas & Juan D. Botero, 2018. "Developmental tendencies in the academic field of intellectual property through the identification of invisible colleges," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1561-1574, June.
  • Handle: RePEc:spr:scient:v:115:y:2018:i:3:d:10.1007_s11192-018-2648-3
    DOI: 10.1007/s11192-018-2648-3
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    1. Cristian Colliander & Per Ahlgren, 2012. "Experimental comparison of first and second-order similarities in a scientometric context," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 675-685, February.
    2. Verspagen, B. & Werker, C., 2003. "The invisible college of the economics of innovation and technological change," Working Papers 03.21, Eindhoven Center for Innovation Studies.
    3. Verspagen, Bart & Werker, Claudia, 2004. "Keith Pavitt and the Invisible College of the Economics of Technology and Innovation," Research Policy, Elsevier, vol. 33(9), pages 1419-1431, November.
    4. Fabian Meyer-Brötz & Edgar Schiebel & Leo Brecht, 2017. "Experimental evaluation of parameter settings in calculation of hybrid similarities: effects of first- and second-order similarity, edge cutting, and weighting factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1307-1325, June.
    5. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    6. Verspagen, Bart & Werker, Claudia, 2003. "The Invisible College of The Economics of Innovation and Technological Change," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 21, pages 393-419, December.
    7. Aurora A. C. Teixeira, 2011. "Mapping the (in)visible college(s) in the field of entrepreneurship," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 1-36, October.
    8. Fabio Montobbio & Annalisa Primi & Valerio Sterzi, 2015. "IPRs and International Knowledge Flows: Evidence from Six Large Emerging Countries," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 106(2), pages 187-204, April.
    9. Lall, Sanjaya, 2003. "Indicators of the relative importance of IPRs in developing countries," Research Policy, Elsevier, vol. 32(9), pages 1657-1680, October.
    10. Eugene Garfield & A. I. Pudovkin & V. S. Istomin, 2003. "Why do we need algorithmic historiography?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(5), pages 400-412, March.
    11. Laranja, Manuel & Uyarra, Elvira & Flanagan, Kieron, 2008. "Policies for science, technology and innovation: Translating rationales into regional policies in a multi-level setting," Research Policy, Elsevier, vol. 37(5), pages 823-835, June.
    12. Alesia Zuccala, 2006. "Modeling the invisible college," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(2), pages 152-168, January.
    13. Wolfgang Glänzel & Bart Thijs, 2017. "Using hybrid methods and ‘core documents’ for the representation of clusters and topics: the astronomy dataset," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1071-1087, May.
    14. Brian A. Jackson, 2003. "Innovation and intellectual property: The case of genomic patenting," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 22(1), pages 5-25.
    15. Loet Leydesdorff, 2008. "On the normalization and visualization of author co‐citation data: Salton's Cosine versus the Jaccard index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(1), pages 77-85, January.
    16. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
    17. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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