Mapping research spotlights for different regions in China

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• 作者：Zhigang Hu ; Fangqi Guo ; Haiyan Hou
• 关键词：Research preference ; China ; CNKI ; Cluster ; VosViewer
• 刊名：Scientometrics
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：110
• 期：2
• 页码：779-790
• 全文大小：
• 刊物主题：Information Storage and Retrieval; Library Science;
• 出版者：Springer Netherlands
• ISSN：1588-2861
• 卷排序：110

文摘

To reveal China’s regional disparity both in research output and preferential research areas is the main purpose of this study. For this study, we investigated the research outputs of all 31 regions (27 provinces and 4 municipalities) in mainland China. The investigated dataset was sourced from CNKI, one of China’s largest domestic academic databases. To measure research preferences between regions, we used the function of cosine distance rather than Euclidean distance. Clustering method was employed to classify the regions according to their similarity/disparity. In the end, six clusters were generated. Each cluster is different in research preferences. For example, Inner Mongolia in Cluster D is featured with the emphasis on animal handcraft; while Hubei province in Cluster A is characterized by a wide range of research areas.