Analysis and visualization of social user communities

• LÓPEZ SÁNCHEZ, Daniel ^[2] ; REVUELTA, Jorge ^[3] ; DE LA PRIETA, Fernando ^[1] ; DANG, Cach ^[4]
  1. [1] Sunchon National University

     Sunchon National University

     Corea del Sur

     
  2. [2] Discovergy GmbH
  3. [3] ACM Member
  4. [4] HoChiMinh City University of Transport

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• Localización: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, ISSN-e 2255-2863, Vol. 4, Nº. 3, 2015, págs. 11-18
• Idioma: inglés
• DOI: 10.14201/ADCAIJ2015431118
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• Resumen

  • 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.   

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