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E-government research hotspots and the implication based on bibliometrics and Latent Dirichlet Allocation topic model

文献类型： 会议论文

第一作者： Jing Wang

作者： Jing Wang 1 ; Li Chen 2 ; Mo Wang 2 ; Yulun Song 3 ;

作者机构： 1.China Center for Information Industry Development, Beijing, China

2.Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China

3.Unicom Digital Tech, Beijing, China

关键词： Analytical models;Systematics;Computational modeling;Bibliometrics;Information security;Metadata;Market research

会议名称： International Conference on Artificial Intelligence and Computer Engineering

主办单位：

页码： 382-385

摘要： E-government has become a research hotspot of great concern from the academic community and governments in recent years. This study conducted a systematic analysis on global e-government research activity using bibliometrics methods and Latent Dirichlet Allocation (LDA) topic model, based on 10,000 research articles' metadata. Bibliometrics results showed that: a total of 114 countries or regions have participated in the research of e-government. The top ten were the United States, China, the United Kingdom, Australia, India, Canada, Italy, Spain, South Korea, and Indonesia in terms of publication number. The United States and China, as the top two countries, had extensive academic cooperation with most other major countries. The major keywords in the field of e-government include e-government, e-commerce, government, security, and e-participation. The LDA topic model indicated that E-government studies prevailingly focused on six aspects: information security, information technology, e-government construction and development policy, public participation, data analysis and application, e-government and industry application. Based on the characteristics and trends of e-government research activities, several suggestions were made for the future development and construction of e-government.

分类号： tp3

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