期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 585, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.physa.2021.126330
关键词
Collaboration networks; The science of science; Topic modeling; Education science
资金
- National Natural Science Foundation of China [61671031, 61722102, 71801006, 61773121]
This study analyzed scientific papers published by authors from China and the United States in the field of education, identifying differences and similarities between the two countries. Chinese educators collaborate widely, while American educators tend to collaborate in smaller groups. Both countries have an optimal team size for producing highly popular papers.
Education is not only a guarantee of personal knowledge, but also a topic of national importance. In this paper, we analyzed the scientific papers published by authors from China and the United States in 239 educational journals over a period of 20 years (2000-2019). We first extracted the topic of each paper via the Latent Dirichlet allocation model, which demonstrated significant differences in specific sub-fields between both countries. Next, we constructed two networks of scientific collaboration among the educators of each country. By analyzing these networks' topological properties, we show both countries' differences and common features. Regarding individuals, Chinese educators collaborate widely, whereas American educators are more likely to collaborate in certain groups. Regarding groups, there exists an optimal team size for producing highly popular papers in both countries. (C) 2021 Published by Elsevier B.V.
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