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.
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Sun, Cm., Zhou, Y., Yuan, S. (2023). A Visual Analysis of E-Government Research in China Based on Co-word Clustering. In: Hou, R., Huang, H., Zeng, D., **a, G., A. Ghany, K.K., Zawbaa, H.M. (eds) Big Data Technologies and Applications. BDTA BDTA 2022 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 480. Springer, Cham. https://doi.org/10.1007/978-3-031-33614-0_22
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