Name
Abstract | ||
|---|---|---|
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 temporal 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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/VAST.2011.6102469 | 2011 IEEE Conference on Visual Analytics Science and Technology (VAST) |
Keywords | DocType | ISBN |
agent-based simulations,temporal graphs,social sciences,behavioral sciences,discrete simulation states,data visualization,graph structures,interactive analysis,large-scale social science simulation,political power,Thailand | Conference | 978-1-4673-0015-5 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Jordan Crouser | 1 | 189 | 15.89 |
| Jeremy G. Freeman | 2 | 0 | 0.34 |
| Remco Chang | 3 | 983 | 64.96 |