开源代码对论文引用的影响机理与实证分析:以计算机领域为例

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

[目的]开源代码是计算机领域内研究成果可验证和可复现的重要依据,本文旨在探究计算机领域论文是否开源代码以及不同开源代码类型对论文被引量的影响。[方法]以Papers with Code上2043篇计算机领域期刊论文为样本,采用基于稳健标准误差的多元回归模型进行分析。[结果]研究表明,论文开源代码与被引量呈显著正相关,不同开源代码类型的论文被引优势有别。[结论]计算机领域论文开源代码不仅提供了研究成果复现的手段,还有助于增加论文被引次数,且在Github代码仓库的README文件中提及原文信息利于促进论文被引。

[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 frequencyof a code-sharing paper is expected to be significantly higher than those of closed source papers, and different codesharingtypes have different effects on citation amount. [Conclusions] For papers in the field of computer, code-sharingnot only provides a mechanism of reproducing research results, but also helps to increase the number of citations of thepapers. Besides, the README file of GitHub code repository that refers to the original information facilitates the citationof the paper.