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Big Data Technologies and Applications. 11th and 12th EAI International Conference, BDTA 2021 and BDTA 2022, Virtual Event, December 2021 and 2022, Proceedings

Research Article

A Visual Analysis of E-Government Research in China Based on Co-word Clustering

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-33614-0_22,
        author={Chuan-ming Sun and Yan Zhou and Shuai Yuan},
        title={A Visual Analysis of E-Government Research in China Based on Co-word Clustering},
        proceedings={Big Data Technologies and Applications. 11th and 12th EAI International Conference, BDTA 2021 and BDTA 2022, Virtual Event, December 2021 and 2022, Proceedings},
        proceedings_a={BDTA},
        year={2023},
        month={5},
        keywords={e-government big data informatization visualization and analysis},
        doi={10.1007/978-3-031-33614-0_22}
    }
    
  • Chuan-ming Sun
    Yan Zhou
    Shuai Yuan
    Year: 2023
    A Visual Analysis of E-Government Research in China Based on Co-word Clustering
    BDTA
    Springer
    DOI: 10.1007/978-3-031-33614-0_22
Chuan-ming Sun, Yan Zhou,*, Shuai Yuan1
  • 1: School of Computer
*Contact email: 675261872@qq.com

Abstract

The application of emerging technologies has promoted the rapid development and popularity of e-government. This paper takes 372 CSSCI papers in the field of e-government in China as the research object, and uses bibexcel, UNICET and SPSS software to perform co-word clustering analysis and visualize the clustering relationships. The research hotspots of e-government in China were found to include research on the development trend of e-government, research on the integration of e-government and new media, research on e-governance in the information society, and research on government information management and data governance. The analysis of the research hotspots provides references for the further development of e-government in China.

Keywords
e-government big data informatization visualization and analysis
Published
2023-05-26
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-33614-0_22
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