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基于双聚类的近10年罗汉果研究热点可视化分析 被引量:8

Visualization Study on Hot Spots of Research on Siraitiae Fructus in Recent Ten Years Based on Double Clustering Analysis
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摘要 目的采用双聚类和可视化法分析近10年罗汉果研究,了解其研究热点及趋势。方法计算机检索中国知识资源总库(CNKI)2007年1月-2016年12月罗汉果相关研究,检索时间为2017年2月20日。采用BICOMB、Net Draw、g CLUTO及SPSS19.0软件对纳入文献进行双聚类和可视化分析,提取关键词并绘制社会关系网络图、可视化矩阵、山峰图和多维尺度分析图,分析高频关键词间的关联。结果最终纳入文献723篇,其中2012-2016年该领域年发文量约为70篇;关键词共现网络图包括76个关键词,其中"罗汉果皂苷""罗汉果甜苷""提取工艺""组培苗""栽培技术""品种""生长发育"等处于核心地位;可视化矩阵和山峰图表明,该领域研究主题主要可分为6类;研究热点动态演化表明,"罗汉果花""饮料""总黄酮""基因表达""基因克隆""酶""凋亡""罗汉果籽油"等将成为后续研究热点。结论本研究揭示了近10年罗汉果研究逐渐成熟,正向深层次拓展。 Objective To use double clustering analysis and visualization method to analyze the research on Siraitiae Fructus in recent ten years; To know the hot spots and trend of research. Methods Relevant research about Siraitiae Fructus in CNKI from January of 2007 to December of 2016 was retrieved by computers, and the retrieval time was February 20 th, 2017. BICOMB, Net Draw, g CLUTO and SPSS19.0 software were used to conduct double clustering analysis and visualization analysis for included articles. Keywords were analyzed, and social network graph, visualization matrix, peak image and multidimensional scaling analysis map were drawn. Correlation among high-frequency key words were analyzed. Results Totally 723 articles were included, among which 70 articles were issued during 2012–2016; 76 key words were obtained by key word co-occurrence network map, among which mogroside, MOG, extraction process, tissue culture, cultivation technology, varieties, growth and development were in the core position; visualization and the peak image showed that the topics in this research field could be divided into 6 categories; research hotspot dynamic evolution showed that Siraitiae Fructus flower, beverage, total flavonoids, gene expression, gene cloning, enzyme, apoptosis, and Siraitiae Fructus seed oil would be the hot spots of further study. Conclusion This study reveals that the research on Siraitiae Fructus in the recent ten years are becoming mature, and expand to deep level.
出处 《中国中医药信息杂志》 CAS CSCD 2017年第11期91-95,共5页 Chinese Journal of Information on Traditional Chinese Medicine
基金 广西科学研究与技术开发重大专项(桂科重1355001-4 14124002-11)
关键词 罗汉果 双聚类 可视化 BICOMB g CLUTO UCINET SPSS 数据挖掘 Siraitiae Fructus double clustering analysis visualization BICOMB gCLUTO Ucinet SPSS data mining
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