基于题录信息分析的期刊数据研究——以《情报学报》为例被引量：7

Research on journal data based on bibliographic record analysis:Taking Journal of the China Society for Scientific and Technical Information as an example

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摘要【目的】挖掘期刊题录信息,揭示海量文章的内容特征,为编辑分析期刊发展动态提供研究范例。【方法】利用VBA程序并借助Excel进行可视化操作,对《情报学报》刊载文献的题目、作者、关键词、作者单位等题录信息进行自动抽取和分析。【结果】析出了核心主题集群;根据权重系数测算得出5年内贡献度最高的30位作者;利用关键词分析挖掘研究热点,其中部分关键词与题名词汇的共现分析结果一致;机构分析中,独立机构与合作机构各占一半,合作产出最多的机构是中国科学技术信息研究所。【结论】期刊编辑人员可通过此方法了解期刊发展动态,为提升办刊质量、提高期刊影响力及学术水平提供数据支撑。 [Purposes] This study aims to explore the information and internal relations of the articles in journals,and to provide a reference for editors to analyze the development of journals. [Methods]We adopted VBA program and Excel to extract and analyze the titles,authors,keywords,author affiliations,and other information in Journal of the China Society for Scientific and Technical Information by visual operation. [Findings]We find the core research topics. According to the weight coefficient,we figure out the highest contributed top 30 authors in recent 5 years. We dig out research hotspots which are fairly compatible to the results of the analysis of title vocabulary through keywords analysis. In the institutional analysis,the independent research institutions account for half, and Institute of Scientific and Technical Information of China has the largest number of collaborative institutions.[Conclusions]Journal editors can understand and get the development trend of journals by this method,improve the quality of journals,and increase the academic level of journals.

作者车尧宋扬李兵 CHE Yao1,2, SONG Yang1,2, LI Bing3(1. Institute of Scientific and Technical Information of China, 15 Fuxing Road, Haidian District, Beijing 100038, China; 2. Editorial Office of Journal of the China Society for Scientific and Technical Information, 54 Sanlihe Road, Xicheng District, Beijing 100045, China; 3. Exchange, Development ＆ Service Center for Science ＆ Technology Talents, Ministry of Science and Technology, 54 Sanlihe Road, Xicheng District, Beijing 100045, Chin)

机构地区中国科学技术信息研究所 <情报学报>编辑部科学技术部科技人才交流开发服务中心

出处《中国科技期刊研究》 CSSCI 北大核心 2018年第4期406-410,共5页 Chinese Journal of Scientific and Technical Periodicals

基金中国科协精品科技期刊工程(2015-2017)期刊出版人才培育项目--情报学报(JPQK4-R-002)

关键词题录期刊数据挖掘信息分析 Bibliography Journal Data mining Information analysis

分类号 G353.1 [文化科学—情报学]

作者简介车尧（ORCID：0000—0002—9988—3821），博士，副编审，编辑部主任，E—mail：they@istic．ac．cn；;宋扬，博士，助理研究员；;李兵，博士，副研究员。