Affiliated with RCfalse
Scientific Collaboration Sustainability Prediction Based on H-index Reciprocity
Wei Wang; Junyang Chen; Weiwei Sun; Zhiguo Gong
Conference NameCompanion Proceedings of the Web Conference 2020
Source PublicationThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
Conference DateApril 20–24, 2020
Conference PlaceTaipei, Taiwan

Despite the increasing interest to investigate and promote scientific collaborations, we know little about scientific collaboration sustainability. In this work-in-progress, we propose to investigate the extent to which scientific collaboration sustainability can be predicted. For this purpose, we design a reciprocity-based collaboration sustainability prediction model by injecting h-index reciprocity. Experiments indicate considering early-stage reciprocity can improve prediction performance compared with state-of-the-art methods.

KeywordCollaboration Network Collaborator Sustainability H-index
URLView the original
Scopus ID2-s2.0-85091702722
Fulltext Access
Citation statistics
Document TypeConference paper
AffiliationState Key Laboratory of Internet of Things for Smart City and Department of Computer and Information Science, University of Macau, Macao 999078, People’s Republic of China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Wei Wang,Junyang Chen,Weiwei Sun,et al. Scientific Collaboration Sustainability Prediction Based on H-index Reciprocity[C],2020:71-72.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wei Wang]'s Articles
[Junyang Chen]'s Articles
[Weiwei Sun]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wei Wang]'s Articles
[Junyang Chen]'s Articles
[Weiwei Sun]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wei Wang]'s Articles
[Junyang Chen]'s Articles
[Weiwei Sun]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.