Exploring agent-based simulations using temporal graphs.
Crouser, R. Jordan.
Freeman, Jeremy G.
- Agent-based simulation has become a key technique for modeling and simulating dynamic, complicated behaviors in social and behavioral sciences. Lacking the appropriate tools and support, it is difficult for social scientists to thoroughly analyze the results of these simulations. In this work, we capture the complex relationships between discrete simulation states by visualizing the data as a ... read moretemporal graph. In collaboration with expert analysts, we identify two graph structures which capture important relationships between pivotal states in the simulation and their inevitable outcomes. Finally, we demonstrate the utility of these structures in the interactive analysis of a large-scale social science simulation of political power in present-day Thailand. © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.read less
- Crouser, R. Jordan, Jeremy G. Freeman, and Remco Chang. "Exploring Agent-Based Simulations Using Temporal Graphs." 2011 IEEE Conference on Visual Analytics Science and Technology (VAST) (October 2011). doi:10.1109/vast.2011.6102469.