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Title:C2 index: A community-aware model to evaluate an author's academic impact
Author(s):Hong, Liang; Li, Xiu; Wang, Jie
Subject(s):Citation analysis
Academic community
Impact evaluation
Informetrics
Abstract:Academic communities and familiarity may cause citation bias in research work, while indicators in citation analysis cannot detect and avoid these biases, which decrease fairness in academic evaluation. Therefore, we propose a new model: C^2 index, which integrates citation analysis with collaboration network analysis, in order to distinguish within and cross-community citations, and highlight citations from high-impact authors. C^2 index evaluates an author's academic impact in a community-aware and a comprehensive citation network. Experiment on real datasets shows that C^2 index outperforms h index and degree centrality in academic evaluation and ranking precision.
Issue Date:2019-03-15
Publisher:iSchools
Series/Report:iConference 2019 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/103319
DOI:https://doi.org/10.21900/iconf.2019.103319
Rights Information:Copyright 2019 Liang Hong, Xiu Li, and Jie Wang
Date Available in IDEALS:2019-03-22


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