A graph database framework for covert network analysis: An application to the Islamic State network in Europe
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 relate...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2017
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/soss_research/2043 https://ink.library.smu.edu.sg/context/soss_research/article/3300/viewcontent/A_graph_database_framework_for_covert_network_analysis.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | 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. |
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