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