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Proliferation dynamics in new sciences

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  • Bonaccorsi, Andrea
  • Vargas, Juan

Abstract

The paper studies the dynamics of production of knowledge in an emergent scientific field, Nanoscience. It suggests that scientific knowledge advances by proliferation, or the turbulent entry of new sub-fields, each generating opportunities for further entries at each time. It suggests a new methodology to define and measure the dynamics of knowledge, based on the industrial dynamics of keywords and a formal representation through bipartite graphs. An empirical examination of the graph dynamics in the early stage of the scientific field (1988-2002) confirms the notion of proliferation.

Suggested Citation

  • Bonaccorsi, Andrea & Vargas, Juan, 2010. "Proliferation dynamics in new sciences," Research Policy, Elsevier, vol. 39(8), pages 1034-1050, October.
  • Handle: RePEc:eee:respol:v:39:y:2010:i:8:p:1034-1050
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    References listed on IDEAS

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    1. Ismael Rafols & Martin Meyer, 2008. "Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience," SPRU Working Paper Series 167, SPRU - Science and Technology Policy Research, University of Sussex.
    2. Wible James, 1998. "The Economics Of Science, Methodology And Epistemology As If Economics Really Matter," Journal des Economistes et des Etudes Humaines, De Gruyter, vol. 8(4), pages 1-18, December.
    3. Michael L. Darby & Lynne G. Zucker, 2010. "Grilichesian Breakthroughs: Inventions of Methods of Inventing and Firm Entry in Nanotechnology," NBER Chapters,in: Contributions in Memory of Zvi Griliches, pages 143-164 National Bureau of Economic Research, Inc.
    4. Andrea Bonaccorsi, 2007. "Explaining poor performance of European science: Institutions versus policies," Science and Public Policy, Oxford University Press, vol. 34(5), pages 303-316, June.
    5. Kiss, Istvan Z. & Broom, Mark & Craze, Paul G. & Rafols, Ismael, 2010. "Can epidemic models describe the diffusion of topics across disciplines?," Journal of Informetrics, Elsevier, vol. 4(1), pages 74-82.
    6. Bonaccorsi, Andrea & Thoma, Grid, 2007. "Institutional complementarity and inventive performance in nano science and technology," Research Policy, Elsevier, vol. 36(6), pages 813-831, July.
    7. Carayol, Nicolas & Dalle, Jean-Michel, 2007. "Sequential problem choice and the reward system in Open Science," Structural Change and Economic Dynamics, Elsevier, vol. 18(2), pages 167-191, June.
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    Cited by:

    1. repec:spr:scient:v:94:y:2013:i:1:d:10.1007_s11192-012-0750-5 is not listed on IDEAS
    2. Diana Tal & Avishag Gordon, 2016. "Leadership of the present, current theories of multiple involvements: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 259-269, April.
    3. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    4. Krzysztof Klincewicz, 2016. "The emergent dynamics of a technological research topic: the case of graphene," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 319-345, January.
    5. Lauto, Giancarlo & Valentin, Finn, 2016. "The knowledge production model of the New Sciences: The case of Translational Medicine," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 12-21.
    6. Raasch, Christina & Lee, Viktor & Spaeth, Sebastian & Herstatt, Cornelius, 2013. "The rise and fall of interdisciplinary research: The case of open source innovation," Research Policy, Elsevier, vol. 42(5), pages 1138-1151.
    7. Marianna EPICOCO (GREThA, CNRS, UMR 5113) & Vanessa OLTRA (GREThA, CNRS, UMR 5113) & Maïder SAINT JEAN (GREThA, CNRS, UMR 5113), 2012. "Mapping the scientific knowledge of the Green Chemistry community (In French)," Cahiers du GREThA 2012-10, Groupe de Recherche en Economie Théorique et Appliquée.

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