Link prediction for interdisciplinary collaboration via co-authorship network

被引：26
|
作者：
Cho H. [1 ]
Yu Y. [1 ]
机构：
[1] School of Mathematics, University of Bristol, Bristol
来源：
Social Network Analysis and Mining | 2018年 / 8卷 / 1期
关键词：
Bipartite network; Co-authorship network; Interdisciplinary collaboration; Link prediction;
D O I：
10.1007/s13278-018-0501-6
中图分类号：
学科分类号：
摘要：
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. © 2018, The Author(s).
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