期刊文献+

基于内容分析法的开源软件使用与引用研究——以Word2vec为例 被引量:4

The Use and Citation of Open Source Software Based on Content Analysis: A Case Study of Word2vec
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摘要 [目的/意义]揭示开源软件Word2vec在学术论文中的可见性和学术影响力,以推进软件引用规范化,促进软件共享和再利用,进而提高科研效率。[方法/过程]文章采用内容分析法对Word2vec在中英文学术论文中的使用和引用情况进行深入分析。[结果/结论]结果表明,使用Word2vec的中英文论文量均逐年增加,但Word2vec引用缺失严重;中英文论文中的软件引用情况存在较大差异,中文论文的软件引用缺失率是英文论文的两倍之多;核心期刊论文中的软件引用缺失率低于一般期刊。最后根据研究结果,提出了推进我国软件引用规范化的对策建议。 [Purpose/significance]This paper reveals the visibility and academic influence of Word2vec,an open-source software(OSS),in academic papers,so as to promote the standardization of software reference,promote the sharing and reuse of software,and improve the efficiency of scientific researches.[Method/process]This paper uses content analysis to analyze the use and citation of Word2vec in Chinese and English academic papers.[Result/conclusion]The results showed that the number of Chinese and English academic papers using Word2vec increased year by year,but there was a serious lack of its citations.There is a great difference between Chinese and English papers in software citations,and the missing rate of software citations in Chinese papers is twice that in English papers.The missing rate of software citations in core journals is lower than that in general journals.Based on the research results,the countermeasures and suggestions to promote the standardization of China's software citations are put forward.
作者 于晓彤 潘雪莲 华薇娜 Yu Xiaotong;Pan Xuelian;Hua Weina(School of Information Management,Nanjing University,Nanjing 210023,China)
出处 《图书情报研究》 2020年第1期101-107,121,共8页 Library and Information Studies
基金 国家自然科学基金青年项目“基于全文本数据的软件实体抽取与学术影响力研究”(项目编号:71704077)的研究成果之一
关键词 开源软件 Word2vec 软件引用 引用分析 内容分析法 open source software Word2vec software citation citation analysis content analysis
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