Link prediction for interdisciplinary collaboration via co-authorship network
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We analyse the Publication and Research (PURE) data set of University of Bristol collected between 2008 and 2013. Using the existing co-authorship network and academic information thereof, we propose a new link prediction methodology, with the specific aim of identifying potential interdisciplinary collaboration in a university-wide collaboration network.
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