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Estratégia Distribuída para Análise de Assuntos Abordados no Twitter Via Evolução de Clusters

Priscila Rocha Ferreira RodriguesTiciana L. Coelho da SilvaJosé Maria da Silva M. FilhoJosé Antônio F. de Macêdo

Recent techniques have applied algorithms of clusters evolution to an-alyze transitions of subjects in social networks and present themselves effectivein the monitoring of these. However, the high rate of data production in socialnetworks creates the need to process an increasing amount of data. This paperproposes a more scalable strategy for analyzing the evolution of subjects in socialnetworks, through the use of a distributed solution in the data clustering stage.The experiments were performed using data obtained from Twitter and demonstrate that the proposed solution is promising, presenting considerable gains inperformance.

http://www.lbd.dcc.ufmg.br/colecoes/sbbd/2017/032.pdf

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