Detecção de Autores Duplicados Utilizando Estrutura de Comunidades em Redes de Cooperação Científica

Breno Júnio V. da SilvaRobson MottaAlneu de Andrade Lopes

In collections of scientific papers is frequent to find different quotational names of a same author. For many applications, these duplicate records need to be identified. This is an instance of the problem known as identification of duplicates, for which good results have not been achieved yet. This study investigated the use of scientific cooperation networks and community detection techniques to deal with the problem of identifying duplicates. The results indicate that such strategy not only improves the accuracy of the identification of duplicates, but also reduces the computational cost associated with this task when compared with approaches in which a record is compared against all the others.

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