Research Article
Sustainable Development, Big Data, and the Economy: Scientometrics Analysis
@INPROCEEDINGS{10.4108/eai.27-10-2023.2341923, author={Chunglien Pan and Wenshan Yang and Xuanyu Liang and Zonghua Tang}, title={Sustainable Development, Big Data, and the Economy: Scientometrics Analysis}, proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China}, publisher={EAI}, proceedings_a={ICEMBDA}, year={2024}, month={1}, keywords={sustainable development big data economy}, doi={10.4108/eai.27-10-2023.2341923} }- Chunglien Pan
Wenshan Yang
Xuanyu Liang
Zonghua Tang
Year: 2024
Sustainable Development, Big Data, and the Economy: Scientometrics Analysis
ICEMBDA
EAI
DOI: 10.4108/eai.27-10-2023.2341923
Abstract
Affected by the current international economic development situation, the potential of data-driven methods in solving economic challenges has become increasingly obvious, and the relationship between sustainable development and big data has gradually begun to develop on a global scale. Using scientometric analysis methods, we selected research literature from the Web of Science (WoS) database from 1900 to 2023 and conducted a systematic review. Based on the data from 237 retrieved, this paper uses VOSviewer and Bibliometrix to analyze and visualize the results. The results show that the research on sustainable development, big data, and the economy is gradually deepening, the research scope is diversified and gradually expanding, and the whole is in a positive upward trend. By showing the cross-network between keywords and the development trend of each related keyword, we provide a reliable basis for researchers to grasp the development of the field.