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Bibliometrics, Stylized Facts and the Way Ahead: How to Build Good Social Simulation Models of Science?

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Abstract

This paper discusses how stylized facts derived from bibliometric studies can be used to build social simulation models of science. Based on a list of six stylized facts of science it illustrates how they can be brought into play to consolidate and direct research. Moreover, it discusses challenges such a stylized facts based approach of modeling science has to solve.

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  • Matthias Meyer, 2011. "Bibliometrics, Stylized Facts and the Way Ahead: How to Build Good Social Simulation Models of Science?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-4.
    • Handle: RePEc:jas:jasssj:2011-54-1
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    1. N. Gilbert, 1997. "A Simulation of the Structure of Academic Science," Sociological Research Online, , vol. 2(2), pages 91-105, June.
    2. Nicole J. Saam & L. Reiter, 1999. "Lotka's law reconsidered: The evolution of publication and citation distributions in scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(2), pages 135-155, February.
    3. Hands,D. Wade, 2001. "Reflection without Rules," Cambridge Books, Cambridge University Press, number 9780521797962, January.
    4. Matthias Meyer & Iris Lorscheid & Klaus G. Troitzsch, 2009. "The Development of Social Simulation as Reflected in the First Ten Years of JASSS: a Citation and Co-Citation Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-12.
    5. Bernd-O. Heine & Matthias Meyer & Oliver Strangfeld, 2005. "Stylised Facts and the Contribution of Simulation to the Economic Analysis of Budgeting," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-4.
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    3. Matthijs den Besten & Catalina Martínez & Nicolas Besson & Stéphane Maraut & Jean-Michel Dalle, 2014. "Human computing via online labor markets. The perils and promises of crowdsourcing in data-rich ecosystems," Working Papers 1402, Instituto de Políticas y Bienes Públicos (IPP), CSIC.

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