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          <dc:title>Socii: A Tool to Analyze and Visualize Dynamic Social Networks</dc:title>
          <dc:creator>Caldas, Jorge Daniel</dc:creator>
          <dc:creator>Gançarski, Alda Lopes</dc:creator>
          <dc:creator>Henriques, Pedro Rangel</dc:creator>
          <dc:subject>Social Networks</dc:subject>
          <dc:subject>Online Social Networks</dc:subject>
          <dc:subject>Social Network Analysis</dc:subject>
          <dc:subject>Data Analytics</dc:subject>
          <dc:description>Social media network analysis represents a major challenge for data scientists in every aspect, since the extraction all the way to the visualization. Despite representing a major technological challenge, social media data analysis has an additional motivation, that is the daily usage in every country across the planet, making Online Social Network (OSN) a universal tool for communication, such as radio or TV, but with the technological flavor of the 21st century. In the present article, we propose a system, called Socii, for social networks analysis and visualization, as part of an ongoing work under a master’s dissertation. This system overlaps two main scientific fields, sociology (more concisely social networks) and computer science. Socii aims at helping OSNs users to know and understand social structures through a user friendly interface. The system relies in four main principles, namely simplicity, accessibility, OSNs integration and contextual analysis.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Jorge Daniel Caldas and Alda Lopes Gançarski and Pedro Rangel Henriques</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 56, 6th Symposium on Languages, Applications and Technologies (SLATE 2017)</dc:relation>
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          <dc:language>eng</dc:language>
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