Community Detection

This paper focuses on social network analysis (SNA) for the purposes of community detection using a hybrid graph-based tag clustering scheme (HGC). The authors present a novel scheme for graph-based clustering with the goal of identifying groups of related tags in folksonomies.

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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 studied a selection of right-wing extremist (RWE) groups on Twitter. The authors looked at particular language-based networks as case studies, collecting Twitter data for groups across eight countries.

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This article is an update of the September 2014 conference presentation given at the 2014 Advances in Databases and Information Systems Conference (ADBIS 2014).  The article focuses on the detection of communities within Online Social Networks.

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This is a slideshow of the June 2011 lecture on the topic of community detection using graphs with a focus on Social Media applications.

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