WoS中共被引聚类研究的计量与分析被引量：3

Bibliometric Measurement and Analysis of the Research on Co-citation Clustering from WoS

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摘要 [目的/意义]对Wo S中共被引聚类最新的、重要的研究成果进行梳理,便于我国研究人员更好地开展相关的理论和实证研究工作。[方法/过程]文中使用引文分析法、共被引分析法、文献计量法,对共被引聚类研究的主题、类型、目的、方法、工具进行多角度分析。[结果/结论]共被引聚类研究成果主要表现为理论、方法类研究和应用研究两大类,理论、方法类研究更注重算法研究,基本主题包括全局科学地图、研究工具等,近年来更偏向研究前沿探测、新兴主题识别、专利分析技术、知识创造、科学计量评价等问题。应用研究时更多采用Cite Space、VOSviewer等可视化工具,研究主题包括创业、创新等热点问题。近年研究呈现出决策支持、多角度分析、对技术依赖性提高等趋势。 [ Purpose/Significance ] The most important and latest research results from WoS were reviewed to facilitate the theoretical and empirical research of co-citation clustering in China. [ Method/Process] The citation method, co-citation analysis method and bibliomet- tic measurement method were used to analyze the research topics, types, purposes, methods and research tools from different views. [ Re- suit/Conclusion] The main types of the co-citation clustering research are on the theory and method research and the application research. As for the theory and method research, the main research tools are the algorithms designed by the researchers and the basic topics are global science mapping, research tool, etc. The emerging topics in recent years are research frontier detecting, emerging topics identifying, the patent analysis techniques, knowledge creation and acientometrical evaluation. In the application research, the main research tools are some new visualization tools such as CiteSpace and VOSviewer, and the main topics are some hot topics such as entrepreneurship, innovation, etc. The new trends in recent years emphasize the supporting roles in the decision-making process, the multi-perspective analysis and the increased dependence on the technology progress.

作者张云华薇娜袁顺波

机构地区南京大学信息管理学院嘉兴学院商学院

出处《情报杂志》 CSSCI 北大核心 2016年第9期152-157,共6页 Journal of Intelligence

关键词共被引文献计量引文分析聚类分析作者共被引 co-citation bibliometdcs citation analysis clustering analysis author co-citation analysis

分类号 G350 [文化科学—情报学] TP391 [自动化与计算机技术—计算机应用技术]

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