Supervised Machine Learning for Academic Collaboration Prediction

Koker, Thomas Edward

Student Work

Supervised Machine Learning for Academic Collaboration Prediction Public

Machine Learning has long been used for classification tasks. We show how applying a link prediction algorithm to a social network formed by co- authorship can be used to predict future collaboration in the Information Systems (IS) education community. We performed link prediction using Logistic Regression, Support Vector Machine, and Random Forest models.

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