Frontiers of Data and Computing ›› 2021, Vol. 3 ›› Issue (2): 93-102.doi: 10.11871/jfdc.issn.2096-742X.2021.02.011

• Special Issue: Management Decision and Intelligent Applications • Previous Articles     Next Articles

Influence Mechanism of Code-Sharing on Paper Citations:An Empirical Analysis on Computer Science Field

WANG Shuwen1,2(),XU Yuanjie1,2(),CHEN Yuanping3(),LI Jianping4(),WU Dengsheng1,2,*()   

  1. 1. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
    2. School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
    3. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
    4. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2021-04-01 Online:2021-04-20 Published:2021-05-18
  • Contact: WU Dengsheng E-mail:wangshuwen20@mails.ucas.ac.cn;xuyuanjie18@mails.ucas.ac.cn;ypchen@cnic.cn;ljp@ucas.ac.cn;wds@casipm.ac.cn

Abstract:

[Objective] Open source code is an important basis for verifiable and reproducible research results in the field of computer science. This article aims to explore whether the codes in a papers is open source or not has an impact on the citation number of the paper, and also the impact of different types of code-sharing on paper citations. [Methods] Using papers from Papers with Code as the research objects, this paper analyses 2043 papers of the computer field by applying the least square method based on robust standard error to carry out the regression analysis. [Results] The results show that the citation frequency of a code-sharing paper is expected to be significantly higher than those of closed source papers, and different code-sharing types have different effects on citation amount. [Conclusions] For papers in the field of computer, code-sharing not only provides a mechanism of reproducing research results, but also helps to increase the number of citations of the papers. Besides, the README file of GitHub code repository that refers to the original information facilitates the citation of the paper.

Key words: citation advantage, code-sharing, multiple regression, computer science