An Agent-based Model of Interdisciplinary Science and the Evolution of Scientific Research Networks
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 â€˜social landscapeâ€™ 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.
|Date of creation:||Jan 2013|
|Date of revision:||Jan 2013|
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Web page: http://www.business.otago.ac.nz/econ
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- 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.
- 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.
- 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.
- 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.
- 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.
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