Abstract
The South Asian Violent Extremist Group (SAVE) dataset describes 500 interactions between 30 South Asian terrorist groups over a 20-year period. We analyze 4 types of interactions between these groups (financial, logistical, operational, and political) via 4 network-theoretic techniques: spectral decomposition and Simmelian ties in an undirected version of the network, and PageRank and betweenness centrality on directed versions of the network. We identify the major players in both the provision and the flows through this network for each type of support. Our analysis shows that the five entities most involved in providing and facilitating all forms of support are Al Qaeda, the Pakistani Inter-Services Intelligence Agency, the Taliban, Lashkar-e-Taiba, and Tehreek-e-Taliban Pakistan.
| Original language | English |
|---|---|
| Title of host publication | ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining |
| Editors | Xindong Wu, Xindong Wu, Martin Ester, Guandong Xu |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 687-694 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781479958771 |
| DOIs | |
| State | Published - 10 Oct 2014 |
| Event | 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 - Beijing, China Duration: 17 Aug 2014 → 20 Aug 2014 |
Publication series
| Name | ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining |
|---|
Conference
| Conference | 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 17/08/14 → 20/08/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
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