Zhao Yulin, Li Junke, Liu Kai
School of Information Engineering, Suqian University, Suqian, Jiangsu, 223800, China.
School of Educational Information Technology, Central China Normal University, Wuhan, 430079, China.
Heliyon. 2023 Jul 29;9(8):e18750. doi: 10.1016/j.heliyon.2023.e18750. eCollection 2023 Aug.
The exploration of the correlation between subject network attention and literature research in China can aid in comprehending the development trend of Chinese scientific and technological journals. Currently, many scholars have done a lot of research based on the network media index, but the relationship between the discipline attention represented by it and literature research has not been fully verified. This paper used CNKI and Baidu Index as data sources to establish a RAPF experimental framework based on relationship analysis and prediction, and selected high school mathematics subjects in China for effective demonstration. First, RAPF extracted core keywords using text tools and word frequency statistics. Second, it constructed a relationship model between subject attention and literature research based on Spearman and LOOCV. Finally, it made predictions through time series and regression analysis. The results showed a correlation between subject attention and literature research, and the model fit was 0.774, with a relative error of less than 2%. Short-term predictions found that some keywords received less online attention, and 2022-2024 may be the crucial development period for mathematical education research, with an annual literature research volume of approximately 380 articles. This paper summarized the mathematical subject themes centered on content, culture, literacy, and integration, and also provided a reference for the development of the subject through experimental prediction. In the next two years, China's mathematics literature research still needs to delve deeper, broaden its breadth, enhance its height, and ensure a steady improvement in the quality and quantity of literature research.
探究中国学科网络关注度与文献研究之间的相关性，有助于了解中国科技期刊的发展趋势。目前，许多学者基于网络媒体指数开展了大量研究，但由其表征的学科关注度与文献研究之间的关系尚未得到充分验证。本文以中国知网和百度指数作为数据来源，建立了基于关系分析与预测的RAPF实验框架，并选取中国高中数学学科进行有效论证。首先，RAPF利用文本工具和词频统计提取核心关键词。其次，基于斯皮尔曼相关系数和留一法交叉验证构建学科关注度与文献研究之间的关系模型。最后，通过时间序列和回归分析进行预测。结果表明学科关注度与文献研究之间存在相关性，模型拟合度为0.774，相对误差小于2%。短期预测发现部分关键词的网络关注度较低，2022 - 2024年可能是数学教育研究的关键发展期，每年的文献研究量约为380篇。本文总结了以内容、文化、素养和融合为核心的数学学科主题，还通过实验预测为学科发展提供了参考。未来两年，中国数学文献研究仍需深入挖掘、拓宽广度、提升高度，确保文献研究的质量和数量稳步提高。
