Journal
SOCIAL NETWORK ANALYSIS AND MINING
Volume 8, Issue 1, Pages -Publisher
SPRINGER WIEN
DOI: 10.1007/s13278-018-0501-6
Keywords
Co-authorship network; Interdisciplinary collaboration; Bipartite network; Link prediction
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We analyse the Publication and Research 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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