research-article

Three is The Answer: Combining Relationships to Analyze Multilayered Terrorist Networks

Authors:

Miguel MirandaLopez,

Scott WarnkeAuthors Info & Claims

ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

Pages 868 - 875

https://doi.org/10.1145/3110025.3110154

Published: 31 July 2017 Publication History

Abstract

In this paper we introduce a methodology to create multilayered terrorist networks, taking into account that the main challenges of the data behind the networks are incompleteness, fuzzy boundaries, and dynamic behavior. To account for these dark networks' characteristics, we use knowledge sharing communities in determining the methodology to create 3-layered networks from each of our datasets. We analyze the resulting layers of three terrorist datasets and present explanations of why three layers should be used for these models. We also use the information of just one layer, to identify the Bali 2005 attack community.

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Cited By

Anzoom RNagi RVogiatzis C(2021)A Review of Research in Illicit Supply-Chain Networks and New Directions to Thwart themIISE Transactions10.1080/24725854.2021.1939466(1-59)Online publication date: 9-Jun-2021
https://doi.org/10.1080/24725854.2021.1939466
Prieto Curiel RWalther OO’Clery N(2020)Uncovering the internal structure of Boko Haram through its mobility patternsApplied Network Science10.1007/s41109-020-00264-45:1Online publication date: 16-Jun-2020
https://doi.org/10.1007/s41109-020-00264-4
Suehr SVogiatzis C(2018)Now You See Me: Identifying Duplicate Network Personas2018 European Intelligence and Security Informatics Conference (EISIC)10.1109/EISIC.2018.00012(23-30)Online publication date: Oct-2018
https://doi.org/10.1109/EISIC.2018.00012
Show More Cited By

Three is The Answer: Combining Relationships to Analyze Multilayered Terrorist Networks
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
2. Information systems
  1. Information systems applications

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cover image ACM Conferences

ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

July 2017

698 pages

ISBN:9781450349932

DOI:10.1145/3110025

Copyright © 2017 ACM.

Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Published: 31 July 2017

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ASONAM '17: Advances in Social Networks Analysis and Mining 2017

July 31 - August 3, 2017

Sydney, Australia

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Overall Acceptance Rate 116 of 549 submissions, 21%

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Cited By

Anzoom RNagi RVogiatzis C(2021)A Review of Research in Illicit Supply-Chain Networks and New Directions to Thwart themIISE Transactions10.1080/24725854.2021.1939466(1-59)Online publication date: 9-Jun-2021
https://doi.org/10.1080/24725854.2021.1939466
Prieto Curiel RWalther OO’Clery N(2020)Uncovering the internal structure of Boko Haram through its mobility patternsApplied Network Science10.1007/s41109-020-00264-45:1Online publication date: 16-Jun-2020
https://doi.org/10.1007/s41109-020-00264-4
Suehr SVogiatzis C(2018)Now You See Me: Identifying Duplicate Network Personas2018 European Intelligence and Security Informatics Conference (EISIC)10.1109/EISIC.2018.00012(23-30)Online publication date: Oct-2018
https://doi.org/10.1109/EISIC.2018.00012
Miller RGera RSaxena AChakraborty T(2018)Discovering and Leveraging Communities in Dark Multi-Layered Networks for Network Disruption2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)10.1109/ASONAM.2018.8508309(1152-1159)Online publication date: Aug-2018
https://doi.org/10.1109/ASONAM.2018.8508309
Wijegunawardana POjha VGera RSoundarajan S(2018)Sampling dark networks to locate people of interestSocial Network Analysis and Mining10.1007/s13278-018-0487-08:1Online publication date: 3-Mar-2018
https://doi.org/10.1007/s13278-018-0487-0
Adeniji OCohick DGera RCastro VSaxena A(2017)A Generative Model for the Layers of Terrorist NetworksProceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 201710.1145/3110025.3110153(690-697)Online publication date: 31-Jul-2017
https://dl.acm.org/doi/10.1145/3110025.3110153

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