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The main focus of the approach consists on the creation and enrichment of a co-occurrence graph using the link prediction theory in order to find an author\u2019s profile considering a graph similarity technique (instead of a traditional supervised learning strategy). The proposed method is applied on the English language partition of the CLEF PAN 2015 author profiling task, producing competitive results that are close to the best results reported so far, given the same training and test corpora. The experimental results show that the addition of new edges to a graph representation based on the topological neighborhood of words can be a valuable asset to infer and discover patterns in texts that comes from social media. 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