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- W2905614987 abstract "This paper proposes a hybrid collaboration recommendation method that accounts for research similarities and the previous research cooperation network. Research cooperation is measured by combining the collaboration time and the number of co-authors who already collaborated with at least one scientist. Research similarity is based on authors’ previous publications and academic events they attended. A weighted directed graph is built to discover new collaborators by using direct and indirect connections between scientists. Moreover, a consensus-based system is built to integrate bibliography data from different sources. The experimental results show that our method improves the recommendation performances over other methods." @default.
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- W2905614987 date "2018-12-20" @default.
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- W2905614987 title "Research collaboration model in academic social networks" @default.
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- W2905614987 doi "https://doi.org/10.1080/17517575.2018.1556812" @default.
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