基于共词分析的知识网络主题演化规律研究
Study of Knowledge Network Theme Evolution in China Based on Co-word Analysis
学科主题演化体现了某一学科的发展态势和未来走向,是研究学科发展规律的重要内容。本文检索CNKI数据库中的知识网络相关论文,提取并确定高频关键词,用Bibexcel建立关键词共词矩阵,再进一步运用社会网络分析软件进行可视化。发现国内知识网络的历年文献数量波动性增长,最相关的核心概念是知识管理,社会网络,知识服务和知识共享,知识网络节点词频与度数分布是线性相关的。从理论研究,研究方法和实践应用三个角度来看知识网络的演化过程,可以了解到知识网络核心概念地位稳固,研究方法多元化发展,知识网络演化机理研究成为热点。
he evolution process of discipline theme reflects the trend of the subject, which plays a very important role of discipline development. This paper searches the papers about knowledge network in CNKI database, extracts and defines high- frequency keywords.Then it establishes the keyword co- word matrix by Bibexcel,does visualization analysis based on SNA software. It finds that the distribution of paper quality of KN research in China is non-linear .The most related theme is Knowledge management, Social Network, Knowledge service and Knowledge sharing. From the view of theoretical research, method and empirical research, the evolution process of KN has these characteristics: core node has the stable status in the network; the research methods develop rich and diverse; the attention of mechanism of KN has gradually raised.
刘非凡、李长玲
科学、科学研究信息传播、知识传播
情报学学科主题演化规律知识网络可视化
Information Scienceiscipline ThemeEvolution LawKNVisualization
刘非凡,李长玲.基于共词分析的知识网络主题演化规律研究[EB/OL].(2013-10-17)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/201310-197.点此复制
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