IIRank: co-ranking scientific articles by characterizing their innovativeness and importance
conference contribution
posted on 2017-01-01, 00:00authored byF Li, Zili ZhangZili Zhang, L Li, X Xu, S He
The dynamic nature of literature networks makes the task of ranking scientific articles hard, hence we present a framework(IIRank) to determine the influence of the proportion of feature pairs in the scientific article on the innovation of the article and to co-rank the scientific article. The model is based on the title, keyword and abstract information extracted from the scientific article, which make it possible to consider the feature pair of the scientific article as the sensors of their innovativeness and importance, and we use the Entropy method to judge the importance degree of a feature pair, the greater the importance degree, the greater the impact on the comprehensive evaluation.
History
Volume
Part F131195
Pagination
247-248
Location
Chongqing, China
Start date
2017-09-22
End date
2017-09-23
ISBN-13
9781450353526
Language
eng
Publication classification
E Conference publication, E1.1 Full written paper - refereed
Copyright notice
2017, Copyright held by the owner/author(s)
Editor/Contributor(s)
Unknown
Title of proceedings
ChineseCSCW2017 : Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing
Event
Computer supported cooperative work and social computing. Chinese conference (12th : 2017 : Chongqing, China)