Document Type
Article
Publication Date
1-2-2012
Publication Title
IEEE Computer Graphics and Applications
Abstract
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.
Keywords
agent-based simulation, computer graphics, graphics and multimedia, political science, visual analytics systems
Volume
32
Issue
1
First Page
67
Last Page
77
DOI
10.1109/MCG.2011.90
ISSN
02721716
Recommended Citation
Crouser, R. Jordan; Kee, Daniel; Jeong, Dong; and Chang, Remco, "Two Visualization Tools for Analyzing Agent-Based Simulations in Political Science" (2012). Computer Science: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/csc_facpubs/209
Comments
Peer reviewed accepted manuscript.