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Título
Analysis and visualisation of Social User Communities
Autor(es)
Materia
Computer Science
Fecha de publicación
2015
Editor
Ediciones Universidad de Salamanca
Citación
Advances in Distributed Computing and Artificial Intelligence Journal, ADCAIJ. Volumen 4 (3), pp. 11-18. Ediciones Universidad de Salamanca.
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.
URI
ISSN
2255-2863
Colecciones
- BISITE. Artículos [289]
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