Identification of Core Authors in International Education of Chinese and the Evolution of Their Research Topics

Q2 Decision Sciences
Yue Huang;Kexin Zhang
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引用次数: 0

Abstract

Due to the fast development of Internet, the bibliographic information under “Internet+” era presents obvious big data characteristics. Crowdsourcing strategy can be applied to analyze bibliographic data. By gathering journal papers and conference papers from different sources in a specific field and identifying its core authors as well as the evolution of the hot research topics the core authors chose to work on, we hope to provide a reference for future research topics and research directions. In this paper, we modified an existing core author evaluation system by adding an indicator called the weighted score of every authorship. After gathering the experimental data from International Education of Chinese, we used the Price formula to detect the core author candidates and build a core author evaluation system based on five indicators, which were the publication volumes, the number of citations, h-index, research field normalized citation impact, and weighted score of every authorship. The weight of each indicator and the score of each candidate were calculated based on the comprehensive index and entropy-based method. Thereafter, the Latent Dirichlet Allocation (LDA) model was used to summarize the papers on the hot research topics the core authors worked on for each period, followed by evolution analysis. Using the above methods, experiments were carried out on the bibliographic data of journal papers and conference papers in the discipline of International Education of Chinese between 2001 and 2020 that were included in the CNKI. Scholars whose scores were greater than 50 were identified as the core author(s) of each period. The core authors and the evolution of their hot research topics were conducted in four periods, namely 2001–2005, 2006–2010, 2011–2015, and 2016–2020. It is our conclusion that the compilation of textbooks has always been the focus of the discipline of International Education of Chinese, while the teaching modes have become increasingly diversified, and also research on the training of undergraduates and postgraduates has increased. With the advancement of technology, much relevant knowledge from many other disciplines has been integrated into the International Education of Chinese, and scholars should pay attention to interdisciplinary research.
汉语国际教育核心作者的识别及其研究主题的演变
由于互联网的快速发展,“互联网+”时代的书目信息呈现出明显的大数据特征。众包策略可以用于分析书目数据。通过收集特定领域不同来源的期刊论文和会议论文,确定其核心作者以及核心作者选择从事的热门研究主题的演变,我们希望为未来的研究主题和研究方向提供参考。在本文中,我们修改了现有的核心作者评估系统,增加了一个称为每个作者加权得分的指标。在收集了《国际汉语教育》的实验数据后,我们使用Price公式来检测核心作者候选人,并基于发表量、引用次数、h指数、研究领域归一化引用影响和每个作者的加权得分五个指标建立了核心作者评价体系。基于综合指数和熵的方法计算每个指标的权重和每个候选人的得分。此后,使用潜在狄利克雷分配(LDA)模型来总结核心作者在每个时期从事的热门研究主题的论文,然后进行进化分析。采用上述方法,对中国知网收录的2001-2020年《汉语国际教育》学科期刊论文和会议论文的书目数据进行了实验。得分超过50分的学者被确定为每个时期的核心作者。核心作者及其热门研究主题的演变分四个时期进行,即2001-2005年、2006-2010年、2011-2015年和2016-2020年。我们的结论是,教材的编写一直是国际汉语教育学科的重点,教学模式越来越多样化,对本科生和研究生培养的研究也越来越多。随着科技的进步,许多其他学科的相关知识已经融入到汉语国际教育中,学者们应该重视跨学科的研究。
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来源期刊
International Journal of Crowd Science
International Journal of Crowd Science Decision Sciences-Decision Sciences (miscellaneous)
CiteScore
2.70
自引率
0.00%
发文量
20
审稿时长
24 weeks
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