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Resumo: The analysis of scientific collaboration networks has contributed significantly to improve the understanding of the collaboration process between researchers. Additionally, it has helped to understand how scientific productions by researchers and research groups evolve. However, the identification of collaborations in large scientific databases is not a trivial task, given the high computational cost of the prevalent methods. This paper proposes a method for identifying collaborationsdoi:10.19132/1808-5245212.140-161 fatcat:qnniwezam5fnlit4ha2ff6ebem