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An Agent-based Model of Interdisciplinary Science and the Evolution of Scientific Research Networks

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  • Dan Farhat

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    (Department of Economics, University of Otago, New Zealand)

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    Abstract

    This study proposes an agent-based model of the impact of research success on the structure of scientific communities. In the model, heterogeneous scientists scattered about a ‘social landscape’ influence each other through networking. Peer networks are allowed to change based on the accumulated achievements (or prestige) of researchers. The dynamics of these networks are illustrated. The framework is then adjusted to allow for interdisciplinary practices (modelled as network links to more distant peers on the social landscape). Separate disciplines are shown to collapse into a single, large scientific network. Managing growing research networks, therefore, becomes a concern.

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    File URL: http://www.business.otago.ac.nz/econ/research/discussionpapers/DP_1302.pdf
    File Function: First version, 2013
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    Bibliographic Info

    Paper provided by University of Otago, Department of Economics in its series Working Papers with number 1302.

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    Length: 12 pages
    Date of creation: Jan 2013
    Date of revision: Jan 2013
    Handle: RePEc:otg:wpaper:1302

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    Related research

    Keywords: Agent-based modelling; evolution of academic networks; interdisciplinary science; sociology of science;

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    1. Andreas Pyka & Nigel Gilbert & Petra Ahrweiler, 2006. "Simulating Knowledge-Generation and -Distribution Processes in Innovation Collaborations and Networks," Discussion Paper Series 287, Universitaet Augsburg, Institute for Economics.
    2. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers 5075, Iowa State University, Department of Economics.
    3. Daniel Farhat, 2011. "Virtually science: an agent-based model of the rise and fall of scientific research programs," Journal of Economic Methodology, Taylor & Francis Journals, vol. 18(4), pages 363-385, December.
    4. Lynne Hamill & Nigel Gilbert, 2009. "Social Circles: A Simple Structure for Agent-Based Social Network Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(2), pages 3.
    5. Nigel Gilbert & Andreas Pyka & Petra Ahrweiler, 2001. "Innovation Networks - a Simulation Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 8.
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