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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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  • 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.
    • Handle: RePEc:jas:jasssj:2009-47-2
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    2. Rolf Barth & Matthias Meyer & Jan Spitzner, 2012. "Typical Pitfalls of Simulation Modeling - Lessons Learned from Armed Forces and Business," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-5.
    3. 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 1-12.
    4. Nuno David & José 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 1-14.
    5. Matthias Meyer & Klaus G. Troitzsch, 2012. "Epistemological perspectives on simulation: overview and introduction," Computational and Mathematical Organization Theory, Springer, vol. 18(1), pages 1-4, March.
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    7. David Anzola & Peter Barbrook-Johnson & Juan I. Cano, 2017. "Self-organization and social science," Computational and Mathematical Organization Theory, Springer, vol. 23(2), pages 221-257, June.
    8. Friederike Wall, 2019. "Emergence of Coordination in Growing Decision-Making Organizations: The Role of Complexity, Search Strategy, and Cost of Effort," Complexity, Hindawi, vol. 2019, pages 1-26, December.
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    15. 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.
    16. 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.
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