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The Development of Social Simulation as Reflected in the First Ten Years of JASSS: a Citation and Co-Citation Analysis

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    Abstract

    Social simulation is often described as a multidisciplinary and fast-moving field. This can make it difficult to obtain an overview of the field both for contributing researchers and for outsiders who are interested in social simulation. The Journal for Artificial Societies and Social Simulation (JASSS) completing its tenth year provides a good opportunity to take stock of what happened over this time period. First, we use citation analysis to identify the most influential publications and to verify characteristics of social simulation such as its multidisciplinary nature. Then, we perform a co-citation analysis to visualize the intellectual structure of social simulation and its development. Overall, the analysis shows social simulation both in its early stage and during its first steps towards becoming a more differentiated discipline.

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    File URL: http://jasss.soc.surrey.ac.uk/12/4/12/12.pdf
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    Bibliographic Info

    Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

    Volume (Year): 12 (2009)
    Issue (Month): 4 ()
    Pages: 12

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    Handle: RePEc:jas:jasssj:2009-47-2

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    Keywords: Citation Analysis; Co-Citation Analysis; Lines of Research; Multidisciplinary; Science Studies; Social Simulation;

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    Cited by:
    1. Martin Neumann, 2010. "Norm Internalisation in Human and Artificial Intelligence," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 12.
    2. Nuno David & Jos´┐Ż Castro Caldas & Helder Coelho, 2010. "Epistemological Perspectives on Simulation III," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 14.
    3. 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.

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