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Research Collaboration Recommendation for Universities Based on Data Science

In this paper, we describe a methodology based on data science to suggest research areas for scientific collaborations between two universities, their research groups, and their researchers. Two different topics are analyzed: i) the strengths of both universities and ii) their complementarities. The analysis is based on research articles in the Scopus database. The methodology has been applied to seven collaboration scenarios for Tecnologico de Monterrey. The results of our methodology are illustrated via a case study with six Chinese universities. The methodology is shown to be relevant for establishing academic and research relationships.