Publication Type
Journal Article
Version
acceptedVersion
Publication Date
10-2017
Abstract
This paper proposes a new framework based on graph database theory for encoding complex data on covert networks, mapping their structure and conducting a sensitivity analysis.The framework is then applied to reconstruct the terrorist network of the 2015-2016 attacks in Paris and Brussels, and related plots in Europe by the Islamic State group (IS). The resulting network was found to be qualitatively different from the ideologically-related Al-Qaeda network, having a lower secrecy and lower mean degree, under different network-generating assumptions.
Keywords
Covert network, Terrorist network, Graph database, Terrorism, Islamic State
Discipline
Sociology
Research Areas
Sociology
Publication
Social Networks
Volume
51
First Page
178
Last Page
188
ISSN
0378-8733
Identifier
10.1016/j.socnet.2016.10.004
Publisher
Elsevier
Citation
GUTFRAIND, Alexander, & GENKIN, Michael.(2017). A graph database framework for covert network analysis: An application to the Islamic State network in Europe. Social Networks, 51, 178-188.
Available at: https://ink.library.smu.edu.sg/soss_research/2043
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.socnet.2016.10.004
