Themes, Trends, and Influence: A Preliminary Study of the International Academic Discourse Power of Big Data Research in the Field of Chinese Social Sciences

DOI

10.2991/978-94-6463-034-3_77How to use a DOI?

Keywords

Social Science; Big Data; SSCI; Academic Discourse Power

Abstract

Taking the big data-related literature included in SSCI as the data source, this paper applies the WoS analysis function and knowledge graph tool Citespace III to conduct bibliometric and visual analysis in social sciences. Quantitative and qualitative analyses are performed to uncover the international situation and existence of big data research in China, through evaluating key variables such as annual distribution, country/regional distribution, research institution distribution, hot spots, subject scope, paper influence, etc. The study aims to investigate China’s internationalization in the subject of social sicence, and help build big data of academic discourse system in China.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xue Meng
AU  - Tang Jingqian
PY  - 2022
DA  - 2022/12/23
TI  - Themes, Trends, and Influence: A Preliminary Study of the International Academic Discourse Power of Big Data Research in the Field of Chinese Social Sciences
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 745
EP  - 752
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_77
DO  - 10.2991/978-94-6463-034-3_77
ID  - Meng2022
ER  -