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Bibliometric and Graph Analysis in Document Data Mining Based on the Cultivation of New Type Professional Farmers

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Cyberspace Safety and Security (CSS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12653))

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Abstract

In order to further enhance the depth and breadth of literature mining, this paper meets the needs of researchers to improve the efficiency of resource utilization and strengthen the visualization effect, and understand the research status and trends related to the cultivation of new-type professional farmers in China. According to CNKI academic research literature in the field of cultivation and research of new professional farmers in China, from the perspective of bibliometrics and social network map, this paper comprehensively uses CiteSpace + Gephi + UCINET knowledge map software. Qualitative analysis and quantitative statistics are carried out on the time series, research field and organization distribution, research hotspots and research trends of literature publication. The analysis results show that the current cultivation of farmers has a wide range of topics and rich content, but the lack of information literacy, especially the cultivation of information security literacy, so it is necessary to continue to expand the scope of cultivation to adapt to the development of The Times.

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Acknowledgments

This work was supported by the Hainan Provincial Natural Science Foundation (618ms025); the Hainan Higher Education and Teaching Reform Research (hnjg2020-12).

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Authors and Affiliations

  1. Hainan University, Haikou, 570228, China

    Chaosheng Tang & Lijin Qin

Authors
  1. Chaosheng Tang
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  2. Lijin Qin
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Editor information

Editors and Affiliations

  1. Hainan University, Haiukou, China

    Jieren Cheng

  2. Hainan University, Haikou, China

    Xiangyan Tang

  3. Hainan University, Haikou, China

    Xiaozhang Liu

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Tang, C., Qin, L. (2021). Bibliometric and Graph Analysis in Document Data Mining Based on the Cultivation of New Type Professional Farmers. In: Cheng, J., Tang, X., Liu, X. (eds) Cyberspace Safety and Security. CSS 2020. Lecture Notes in Computer Science(), vol 12653. Springer, Cham. https://doi.org/10.1007/978-3-030-73671-2_23

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  • DOI: https://doi.org/10.1007/978-3-030-73671-2_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73670-5

  • Online ISBN: 978-3-030-73671-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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