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Bibliometrical Analysis of International Big Data Research: Based on Citespace and VOSviewer

大数据 主题(文档) 领域(数学) 数据科学 可视化 科学网 信息可视化 文献计量学 数据可视化 计算机科学 图书馆学 政治学 数据挖掘 法学 纯数学 数学 梅德林
作者
Ye Chunlei
标识
DOI:10.1109/fskd.2018.8687153
摘要

In order to get the development of status in the field of big data research on international, and to identify the hotspots and frontiers of this field during 2012 and 2017. This paper draw the visualization mapping of the literatures involved in this field by Citespace and VOSviewer and analyzed the result mapping furtherly. This paper took 4,569 literatures related to the big data research, which were included in the core collection of Web of Science during 2012 and 2017. This paper fully integrated the advantage of Citespace and VOSviewer visualization tool. And its result mapping was carried on the comprehensive analysis of the co-citation network and the co-occurrence network. As a new research field, scholars' attention to big data research had been increasing year by year. The “Computer Science, Information Systems” and other 5 subject categories had become the core subject categories in the field of big data research. The most influential country was USA, followed by Peoples R China, England, Australia and Canada. The most influential institution was Chinese Academic Science. (Dean J, 2008) and other highly cited literatures constructed the knowledge base of this research field. “Big Data Research” and other 8 subject clusters were the hot spots and the frontiers of big data research. There were some core literatures were identified in each subject cluster displaying the research content in this field furtherly.

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