Identification

This 2013 article examines the case of a Marine Corps reservist who perpetrated a series of attacks against military facilities in Virginia in October and November 2010.

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This 2014 article uses a case study method to examine the implications of using the emerging technology of predictive analytics in a homeland security context, to provide increased intelligence for counterterrorism initiatives.

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This 2013 paper introduces a methodology that incorporates information available on terrorist networks, into the analysis of social networks underlying terrorist groups.

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This 2012 paper presents a model that was built using sentiment analysis scores from analyzing selected web forums that included radical content. The study looked at two Arabic language web forums and extracted a sample of 500 sentences from each, which were then manually translated.

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This 2013 article analyzes content generated on Twitter during the attacks at the Boston Marathon in April 2013. The authors perform an in-depth characterization of what factors influenced malicious content and profiles becoming viral.

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This 2014 paper utilizes a form of network representation that incorporates multiple data views to uncover and categorize networks of accounts that fall into four broadly defined groups in the Syrian conflict.

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This article focuses on the use of linguistic “weak signals”—digital traces of intent—in social media as a tool of counterterrorism aimed at preventing lone-wolf attacks.

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