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Visualization Analysis of Knowledge Network Research Based on Mapping Knowledge
Journal of Signal Processing Systems ( IF 1.6 ) Pub Date : 2020-09-19 , DOI: 10.1007/s11265-020-01595-2
Hong Liu , Ying Jiang , Hua Fan , Xin Wang , Kang Zhao

With the acceleration of economic information, networking, globalization and the new technological revolution, more and more scholars abroad have begun to pay attention to the research of knowledge networks. Some scholars even regard knowledge networks as a new field in the field of knowledge management research theoretical paradigm. This paper takes the research literature of knowledge network in Web of Science as the research object, and uses the information visualization software Cite Space, which is the world’s leading information, to visualize the geographical distribution of relevant knowledge networks in the international context by using traditional bibliometric methods and information visualization tools. High-impact authors, core literature, research hotspots for quantitative research and visual analysis, showing the classic literature and research hotspots and frontier fields of international knowledge management research in the form of maps, and analyzing knowledge maps and literature materials, content analysis, and induction The combination of methods and other methods to analyze and summarize the current research status of international knowledge management can provide useful reference for knowledge networks and related research.



中文翻译:

基于知识图谱的知识网络研究的可视化分析

随着经济信息,网络,全球化和新技术革命的加速,国外越来越多的学者开始重视知识网络的研究。一些学者甚至将知识网络视为知识管理研究理论范式的一个新领域。本文以Web of Science中的知识网络研究文献为研究对象,并使用世界领先的信息可视化软件Cite Space,通过使用传统的可视化技术在国际范围内可视化相关知识网络的地理分布。文献计量方法和信息可视化工具。高影响力的作者,核心文献,用于定量研究和视觉分析的研究热点,

更新日期:2020-09-20
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