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Social Network Analysis and Terrorism
Abstract
Historically, terrorist groups were easily identifiable organizations with defined structures and objectives. In more recent years the groups have become more diffuse and opaque (Hoffman, 2002). The decentralized, hidden nature of current terrorist networks makes the application of social network analysis (SNA) timely. This chapter is designed to briefly introduce the reader to SNA and then highlight several studies that utilize SNA to investigate terrorist and other dark networks. These studies underscore the effectiveness of applying SNA to mapping the underlying structures of terrorist networks and informing and implementing counterterrorism policies. The chapter closes with a section on future research that could continue to move this area of study forward.
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“Detecting such offenses in public communications on social media and public chats is relatively easy, as they can be monitored by employing content moderators who assess the content manually or through an automated mechanism such as using profanity filters [18,19].”
From Online grooming detection: A comprehensive survey of child exploitation in chat logs (2023) · cites this paper as [18]
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Research works printed but not linked: 46
- Arquilla J., 2001, Networks and netwars: The future of terror, crime, and militancy
- The Artificial Intelligence Laboratory, 2014, Dark Web and geopolitical Web research: The Dark Web project and forum portal
- 10.1002/pam.20619 · DOI
- 10.1126/science.1173299 · DOI
- Bichler G., 2015, Disrupting criminal networks: Network analysis in crime prevention, 233, 10.1515/9781626372573-013 · DOI
- 10.1007/978-3-319-01285-8_11 · DOI
- Bouchard M., 2015, Social network, terrorism and counter‐terrorism: Radical and connected, 10.4324/9781315738291 · DOI
- 10.4159/9780674029095 · DOI · Paper page
- Carly K. M., 2007, Dynamic network analysis in counter‐terrorism
- Conway M., 2006, Terrorist “use” of the Internet and fighting back, Information and Security: An International Journal, 19, 9
- Denning D. E., 2011, Handbook on Internet crime
- 10.1093/bjc/38.4.537 · DOI
- 10.1177/0022002709355439 · DOI
- 10.1017/CBO9781139136877 · DOI
- 10.1080/19434472.2012.725225 · DOI
- 10.1111/1467-9531.00118 · DOI
- 10.1086/225469 · DOI · Paper page
- Helfstein S. &Wright D.(2011).Success lethality and cell structure across the dimensions of al Qaeda. Combating Terrorism Center at West Point. Retrieved fromwww.hsdl.org/?view&did=5832 · DOI
- 10.1080/105761002901223 · DOI
- Hoffman B., 2005, Does our counter‐terrorism strategy match the threat?
- Joffres K., 2015, Disrupting criminal networks: Network analysis in crime prevention, 153, 10.1515/9781626372573-010 · DOI
- Knoke D., 2008, Social network analysis (Quantitative applications in the social sciences), 10.4135/9781412985864 · DOI
- 10.1080/10576100600798418 · DOI
- Krebs V. E., 2001, Mapping networks of terrorist cells, Connections, 24, 43
- 10.5210/fm.v7i4.941 · DOI
- Lewis J. A., 2005, Proceedings of the Annual Meeting (American Society of International Law), 112
- 10.1080/10576100701759988 · DOI
- Malm A., 2015, Disrupting criminal networks: Network analysis is crime prevention, 1
- 10.1177/0022427810391535 · DOI
- McCulloh I., 2011, Detecting change in longitudinal social networks, 10.21307/joss-2019-031 · DOI
- 10.1007/978-0-387-09526-4 · DOI
- 10.1016/j.socnet.2013.06.005 · DOI
- Nash R. Bouchard M. &Malm A.(forthcoming).Social networks as predictors of harm suffered by victims of a large‐scale Ponzi scheme.Canadian Journal of Criminology and Criminal Justice.
- O'Rourke S., 2006, Global reach: terrorists and the internet
- 10.1086/597791 · DOI
- Papachristos A. V., 2011, Measuring crime and criminality: Advances in criminological theory, volume 17, 101
- 10.1353/sof.2006.0104 · DOI
- Ripley R., 2011, Manual for RSiena
- 10.9783/9780812206791 · DOI
- 10.9783/9780812206784 · DOI
- Watts D. J., 2003, Six degrees: The science of a connected age
- Weinmann G., 2006, Terror on the Internet. The new arena, the new challenges
- Xu J., 2008, The topology of dark networks, Communications of the ACM, 51, 58, 10.1145/1400181.1400198 · DOI
- Xu J. Chen H. Zhou Y. &Qin J.(2006).On the topology of the dark Web of terrorist groups. InProceedings of the IEEE International Conference on Intelligence and Security Informatics(ISI'06) San Diego CA May 23–24.
- 10.2202/1547-7355.1477 · DOI
- Zhou Y. Qin J. Lai G. Reid E. &Chen H.(2005).Building knowledge management system for researching terrorist groups on the Web. Presented at Proceedings of the Eleventh Americas Conference on Information Systems Omaha NE.
Cited by
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Online grooming detection: A comprehensive survey of child exploitation in chat logs
Borj, P. R., Raja, K., & Bours, P. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2022.110039 · Cited by 38
Metadata
- Authors
- Malm, A., Nash, R., & Moghadam, R.
- Venue
- The Handbook of the Criminology of Terrorism
- Publisher
- Wiley
- Published
- 2016-11-24
- Pages
- 221-231
- OpenAlex
- W2571572381
- Cited by
- 7
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2022: 1 · 2020: 3 · 2018: 1
- Type
- other
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Sociology and Political Science › Terrorism, Counterterrorism, and Political Violence
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Sociology and Political Science › Crime, Illicit Activities, and Governance
- Keywords
- social network analysis, terrorist networks, dark networks, network structure, counterterrorism policy, decentralized networks, network mapping
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