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Scientific Collaboration Sustainability Prediction Based on H-index Reciprocity
Wei Wang; Junyang Chen; Weiwei Sun; Zhiguo Gong
2020-04-20
Conference NameCompanion Proceedings of the Web Conference 2020
Source PublicationThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
Pages71-72
Conference DateApril 20–24, 2020
Conference PlaceTaipei, Taiwan
Abstract

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
DOI10.1145/3366424.3382702
URLView the original
Scopus ID2-s2.0-85091702722
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
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.
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