Agent Based Modeling on Organizational Dynamics of Terrorist Network
Authored by Bo Li, Duoyong Sun, Renqi Zhu, Ze Li
Date Published: 2015
DOI: 10.1155/2015/237809
Sponsors:
Chinese National Natural Science Foundation
Platforms:
No platforms listed
Model Documentation:
UML
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
Modeling organizational dynamics of terrorist network is a critical
issue in computational analysis of terrorism research. The first step
for effective counterterrorism and strategic intervention is to
investigate how the terrorists operate with the relational network and
what affects the performance. In this paper, we investigate the
organizational dynamics by employing a computational experimentation
methodology. The hierarchical cellular network model and the
organizational dynamics model are developed for modeling the hybrid
relational structure and complex operational processes, respectively. To
intuitively elucidate this method, the agent based modeling is used to
simulate the terrorist network and test the performance in diverse
scenarios. Based on the experimental results, we show how the changes of
operational environments affect the development of terrorist
organization in terms of its recovery and capacity to perform future
tasks. The potential strategies are also discussed, which can be used to
restrain the activities of terrorists.
Tags
Evolution