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Two Visualization Tools for Analyzing Agent-Based Simulations in Political Science
January/February 2012 (vol. 32 no. 1)
pp. 67-77
R. Jordan Crouser, Tufts University
Daniel E. Kee, Tufts University
Dong Hyun Jeong, University of the District of Columbia
Remco Chang, Tufts University
Agent-based modeling has become a key technique for modeling and simulating dynamic, complicated behaviors in the social and political sciences. Although many robust toolkits for developing and running these simulations exist, systems that support analysis of their results are few and tend to be overly general. So, social scientists have had difficulty interpreting the results of their increasingly complex simulations. To help bridge this gap between data generation and interpretation, researchers collaborated with political science analysts to design two tools for interactive data exploration and domain-specific data analysis. Testing by the analysts validated that these tools provided an efficient framework to explore individual trajectories and the relationships between variables. The tools also supported hypothesis generation by enabling analysts to group simulations according to multidimensional similarity and drill down to investigate further.

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Index Terms:
visual analytics systems, agent-based simulation, political science, computer graphics, graphics and multimedia
Citation:
R. Jordan Crouser, Daniel E. Kee, Dong Hyun Jeong, Remco Chang, "Two Visualization Tools for Analyzing Agent-Based Simulations in Political Science," IEEE Computer Graphics and Applications, vol. 32, no. 1, pp. 67-77, Jan.-Feb. 2012, doi:10.1109/MCG.2011.90
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