Mobilizing for Change: Simulating Political Movements in Armed Conflicts

Authored by Mark Altaweel, David Sallach, Charles Macal

Date Published: 2013-04

DOI: 10.1177/0894439312451106

Sponsors: United States Office of Naval Research (ONR)

Platforms: Repast

Model Documentation: Other Narrative Flow charts

Model Code URLs: http://discovery.ucl.ac.uk/1347967/

Abstract

Theories on the establishment and propagation of political movements through mobilization have emerged and evolved over the last half century. Among the major theoretical frameworks that have been advanced are resource mobilization theory, political process theory, and culture theory. However, despite these developments, relatively few methodological approaches have applied bottom-up computational modeling and simulation in explaining movement development in conflicts. With developments made in computational methods, the integration of social theory with modeling and simulation is a natural progression in creating tools that allow analysts, policy makers, and researchers the means to assess the successes or failures of political movements during armed struggles. This article presents an agent-based model and simulation that applies several frequently used theoretical approaches to political mobilization and explores the extent to which group resources and identity shaped conflicts in Central Asia. Given their historical, cultural, political, economic, and geographical circumstances, the authors seek to determine why different movements experienced contrasting political mobilization outcomes. Results show that receiving outside resources could help a relatively weak group, with limited mobilization, overcome opposition that is initially better mobilized, while shared identity and sufficient risk taking are shown to be potentially strong factors in producing successful mobilization. More broadly, the approach advanced enables analysts and researchers to better anticipate future mobilization events and projected paths of conflict by developing and understanding cause and effect relationships within relevant theoretical frameworks.

Tags

Simulation Agent-based modeling Central Asia Social theory conflict mobilization movements