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<title>Analysis and visualization of social user communities</title>
<creator>López Sánchez, Daniel</creator>
<creator>Revuelta Herrero, Jorge</creator>
<creator>Prieta Pintado, Fernando de la</creator>
<creator>Dang, Cach</creator>
<subject>Computación</subject>
<subject>Informática</subject>
<subject>Computing</subject>
<subject>Information Technology</subject>
<description>In this paper, a novel framework for social user clustering is proposed. Given a current controversial political topic, the Louvain Modularity algorithm is used to detect communities of users sharing the same political preferences. The political alignment of a set of users is labeled manually by a human expert and then the quality of the community detection is evaluated against this gold standard. In the last section, we propose a novel force-directed graph algorithm to generate a visual representation of the detected communities.   </description>
<date>2016-07-22</date>
<date>2016-07-22</date>
<date>2015-06-06</date>
<type>info:eu-repo/semantics/article</type>
<type>info:eu-repo/semantics/article</type>
<identifier>ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 4 (2015)</identifier>
<identifier>2255-2863</identifier>
<identifier>http://hdl.handle.net/10366/130105</identifier>
<language>eng</language>
<rights>https://creativecommons.org/licenses/by-nc-nd/3.0/</rights>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>Attribution-NonCommercial-NoDerivs 3.0 Unported</rights>
<publisher>Ediciones Universidad de Salamanca (España)</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>