Link prediction for interdisciplinary collaboration via co-authorship\n network

2018/03/16 by Haeran Cho, Yi Yu, Cho, Haeran +1
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Applications (stat.AP) #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #Digital Libraries (cs.DL) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph)

paper · pdf · doi:10.48550/arxiv.1803.06249

openalex publication_date 2018/03/16 · openalex created_date 2022/02/24 · openalex updated_date 2026/07/28

Abstract

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

Citations

• Friends and neighbors on the Web

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