Link prediction for interdisciplinary collaboration via co-authorship network

Haeran Cho; Yi Yu

doi:10.1007/s13278-018-0501-6

Link prediction for interdisciplinary collaboration via co-authorship network

Haeran Cho, Yi Yu^*

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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Abstract

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.

Original language	English
Article number	25
Number of pages	12
Journal	Social Network Analysis and Mining
Volume	8
Issue number	1
Early online date	27 Mar 2018
DOIs	https://doi.org/10.1007/s13278-018-0501-6
Publication status	Published - 1 Dec 2018

Keywords

Bipartite network
Co-authorship network
Interdisciplinary collaboration
Link prediction

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KW - Co-authorship network

KW - Interdisciplinary collaboration

KW - Link prediction

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Link prediction for interdisciplinary collaboration via co-authorship network

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