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Competing, complementary and co-existing paradigms in techno-scientific literature: A case study of Nanotechnology for engineering

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  • Thara Prabhakaran

    (University of Kerala)

  • Hiran H. Lathabai

    (University of Kerala)

  • Susan George

    (University of Kerala)

Abstract

Nanotechnology is a research field that has potential to drive the progress of mankind for the next few decades. Its application is found in every discipline, ranging from material science to space communication. Owing to its potential for ubiquity, and capability of replacing many general purpose technologies, co-existence of several paradigms are expected in nanotechnology. Flow Vergence (FV) gradient has been recently introduced as a metric to mine the network of scientific literature for detecting the paradigm shifts. In this paper, we have performed citation network analysis of scientific publications in nanotechnology from research area ‘engineering’ for identification of paradigms related to the same. Flow vergence gradient revealed 18 subnetworks that deal with 25 likely pivots of paradigm shifts. Major paradigm shifts can be found in the field of targeted drug delivery. Nanonetworks, a crossover of IT, BT and nanotechnology is the another interesting paradigm shift identified. An extended subnetwork analysis has been conducted to identify the competing or complementary nature of the emerging paradigms in the subnetworks. A framework for this has also been introduced. This analysis revealed that most of the paradigms in the targeted delivery are competing paradigms. Complementary paradigms are also identified in nano electronics and targeted drug delivery. Policy implications from this identification for various target groups are also discussed.

Suggested Citation

  • Thara Prabhakaran & Hiran H. Lathabai & Susan George, 2019. "Competing, complementary and co-existing paradigms in techno-scientific literature: A case study of Nanotechnology for engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 941-977, March.
    • Handle: RePEc:spr:scient:v:118:y:2019:i:3:d:10.1007_s11192-019-03013-2
    DOI: 10.1007/s11192-019-03013-2
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    1. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
    2. Alfonso Ávila-Robinson & Kumiko Miyazaki, 2013. "Evolutionary paths of change of emerging nanotechnological innovation systems: the case of ZnO nanostructures," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 829-849, June.
    3. Palmberg, Christopher & Pajarinen, Mika & Nikulainen, Tuomo, 2007. "Transferring Science-based Technologies to Industry - Does Nanotechnology Make a Difference?," Discussion Papers 1064, The Research Institute of the Finnish Economy.
    4. Ismael Rafols & Alan L. Porter & Loet Leydesdorff, 2010. "Science overlay maps: A new tool for research policy and library management," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(9), pages 1871-1887, September.
    5. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    6. Kenneth Carlaw & Richard Lipsey, 2011. "Sustained endogenous growth driven by structured and evolving general purpose technologies," Journal of Evolutionary Economics, Springer, vol. 21(4), pages 563-593, October.
    7. William W. Hood & Concepción S. Wilson, 2001. "The Literature of Bibliometrics, Scientometrics, and Informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(2), pages 291-314, October.
    8. Thara Prabhakaran & Hiran H. Lathabai & Susan George & Manoj Changat, 2018. "Towards prediction of paradigm shifts from scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1611-1644, December.
    9. Prabhakaran, Thara & Lathabai, Hiran H. & Changat, Manoj, 2015. "Detection of paradigm shifts and emerging fields using scientific network: A case study of Information Technology for Engineering," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 124-145.
    10. Lathabai, Hiran H. & Prabhakaran, Thara & Changat, Manoj, 2015. "Centrality and Flow Vergence gradient based Path analysis of scientific literature: A case study of Biotechnology for Engineering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 157-168.
    11. Vladimir Batagelj & Monika Cerinšek, 2013. "On bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 845-864, September.
    12. 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.
    13. Loet Leydesdorff, 2007. "Betweenness centrality as an indicator of the interdisciplinarity of scientific journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1303-1319, July.
    14. 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.
    15. Loet Leydesdorff, 2007. "Visualization of the citation impact environments of scientific journals: An online mapping exercise," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(1), pages 25-38, January.
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