关键词: 大数据, 日本学研究, 相异系数矩阵分析, 聚类分析, 知识图谱

Abstract: Using large data, this paper selects the keywords of papers published in Japanese Studies and Japanese Research from 2010 to 2017 for dissimilarity coefficient matrix and clustering analysis, and draws a hotspot knowledge map, pointing out that the overall trend of Japanese research in recent years is based on political research, mainly concentrated in the study of SinoJapanese relations. However, no systematic research paradigm has yet been formed. It is necessary to use interdisciplinary and multidisciplinary research methods to grasp the relationship between things and discover new laws and methods in the future. At the same time, we should take the initiative to use data thinking to solve the theoretical and practical problems faced by Japanese research. We should also make original theoretical contributions based on cutting edge research on Japanese studies and our national needs so as to build a comprehensive, total factor Japanese research system.

Key words: big data, Japanese studies, dissimilarity coefficient matrix analysis, cluster analysis, knowledge map