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Titolo
Analysis and visualization of social user communities
Autor(es)
Soggetto
Computación
Informática
Computing
Information Technology
Fecha de publicación
2015-06-06
Editore
Ediciones Universidad de Salamanca (España)
Citación
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 4 (2015)
Abstract
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
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