An Agent-based Model of Interdisciplinary Science and the Evolution of Scientific Research Networks
AbstractThis 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.
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Bibliographic InfoPaper provided by University of Otago, Department of Economics in its series Working Papers with number 1302.
Length: 12 pages
Date of creation: Jan 2013
Date of revision: Jan 2013
Agent-based modelling; evolution of academic networks; interdisciplinary science; sociology of science;
Find related papers by JEL classification:
- A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
- B49 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Other
- Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Social and Economic Stratification
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-02-16 (All new papers)
- NEP-CMP-2013-02-16 (Computational Economics)
- NEP-SOG-2013-02-16 (Sociology of Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
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- 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.
- 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.
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