The Library
Link prediction for interdisciplinary collaboration via co-authorship network
Tools
Tools
Tools
Cho, Haeran and Yu, Yi (2018) Link prediction for interdisciplinary collaboration via co-authorship network. Social Network Analysis and Mining, 8 (1). doi:10.1007/s13278-018-0501-6 ISSN 1869-5450 .
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://dx.doi.org/10.1007/s13278-018-0501-6
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.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||
| Journal or Publication Title: | Social Network Analysis and Mining | ||||
| Publisher: | Springer Wien | ||||
| ISSN: | 1869-5450 | ||||
| Official Date: | 27 March 2018 | ||||
| Dates: |
|
||||
| Volume: | 8 | ||||
| Number: | 1 | ||||
| DOI: | 10.1007/s13278-018-0501-6 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Open Access (Creative Commons) |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
