Online Social Networks

This 2013 paper focuses on the modelling of terrorist networks online and addresses changes in technology and the associated creation of new security dynamics and threats.

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This 2014 report by the International Centre for the Study of Radicalization and Political Violence (ICSR) presents the findings of a 12-month study on the social media profiles of 190 Western and European foreign fighters.

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This paper discusses automated methods for detecting online radicalization and radical communities on various platforms, from websites, to forums, to social media platforms such as Facebook, YouTube, Twitter, and others.

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This paper explores the use of crawling global social networking platforms to undercover previously unknown radicalized individuals. To prove the utility of this process the authors collect a YouTube dataset from a group that potentially has a radicalizing agenda.

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This 2014 article focuses on Social Network Analysis (SNA) and in particular content propagation and dissemination on Facebook.

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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 2012 paper develops a novel methodology for modeling cyber-collective social networks (CSMs) from individual, community, and transnational perspectives. The authors do this by utilizing existing collective action theories and computational approaches for social network analysis.

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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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The article aims to build an unsupervised model to estimate relationship strength based on profile similarity and interaction activity.

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This survey reviews the literature and concepts of the data mining of social networks, with special emphasis on their representation as a graph structure. The article is divided into two principal parts:

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