CiteSpace-Based Visualization Analysis of Literature Big Data on Artificial Intelligence
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    Abstract:

    With the increase of data volume, the improvement of computer computing power, and the emergence of deep learning algorithm, artificial intelligence has been paid more and more attention. Taking American Core Journal Database Web of Science as research object, in which 6879 journal papers about artificial intelligence were included, adopting knowledge map of time and space and content knowledge map as main research methods, and applying the information visualization software CiteSpace, visualize and analyze literature big data from five aspects:cooperative countries, research institutions, references, keywords, and burst terms. It clarifies the research status and important literature in the field of artificial intelligence, and reveals the research hotspots and frontiers in the field of artificial intelligence. Finally, through the summary of the five visual analyses, the article gives an important reference in the field of artificial intelligence to select the direction of scientific research, to explore the forefront of science, to help science and technology decision, and so on.

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任利强,郭强,王海鹏,张立民.基于CiteSpace的人工智能文献大数据可视化分析.计算机系统应用,2018,27(6):18-26

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History
  • Received:October 10,2017
  • Revised:November 03,2017
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  • Online: May 29,2018
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