C2 index: A community-aware model to evaluate an author's academic impact

Hong, Liang; Li, Xiu; Wang, Jie

Permalink

https://hdl.handle.net/2142/103319 Copy

Description

Title

C2 index: A community-aware model to evaluate an author's academic impact

Author(s)

• Hong, Liang
• Li, Xiu
• Wang, Jie

Issue Date

2019-03-15

Keyword(s)

• Citation analysis
• Academic community
• Impact evaluation
• Informetrics

Date of Ingest

2019-03-22T21:34:42Z

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.

Publisher

iSchools

Series/Report Name or Number

iConference 2019 Proceedings

Type of Resource

text

Genre of Resource

Conference Poster

Language

eng

Permalink

http://hdl.handle.net/2142/103319

DOI

https://doi.org/10.21900/iconf.2019.103319

Copyright and License Information

Copyright 2019 Liang Hong, Xiu Li, and Jie Wang

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