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挖掘数据背后的学科发展规律是大数据时代推进科学研究的有效途径。苗学作为国内外民族问题研究的一个热点话题,积累着大量可供分析的文献数据。以中国知网(CNKI)数据库收录的5111篇苗学研究文献为对象,根据普赖斯学科发展理论和苗学文献数据特征,大致可把苗学研究划分为起步期(1980-2003年)和发展期(2004年至今)两个阶段。运用流行的信息可视化软件Cite Space绘制关键词共现图谱,并结合高频关键词的统计结果,可揭示苗学研究各阶段的热点主题,从而为苗学研究的深入和推进提供有益借鉴。
Mining disciplines behind the laws of discipline development is an effective way to promote scientific research in the era of big data. As a hot topic of nationality research at home and abroad, Miao science accumulates a large amount of literature data for analysis. Based on the published data of 5111 seedlings studied in China National Knowledge Infrastructure (CNKI) database, according to the theory of Price’s development and the literature data of seedlings, the researches on seedlings can roughly be divided into initial period (1980-2003) and Development period (2004 to date) two stages. The use of the popular information visualization software Cite Space to draw the key words co-occurrence map, combined with the high-frequency keyword statistics, can reveal the hot topics in all stages of seedling research so as to provide useful reference for the further and advanced research.