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A Visualization Study of Hot Spots of Research on Siraitiae Fructus over a Decade Based on Co-clustering Analysis
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作者 Jianhua FAN Min LIANG Buming LIU 《Medicinal Plant》 CAS 2018年第1期1-5,15,共6页
[Objectives] To use co-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 results abo... [Objectives] To use co-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 results about S. Fructus in CNKI from January of 2007 to December of 2016 were retrieved by computers,and the retrieval time was February 20,2017. BICOMB,Net Draw,g CLUTO and SPSS19. 0 software were used to conduct co-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 S. Fructus flower,beverage,total flavonoids,gene expression,gene cloning,enzyme,apoptosis,and S. Fructus seed oil would be the hot spots of further study. [Conclusions]This study reveals that the research on S. Fructus in the recent ten years is becoming mature,and expanding to deep level. This study can be promoted to discipline development evaluation of TCM research field. 展开更多
关键词 siraitiae fructus Co-clustering analysis VISUALIZATION BICOMB gCLUTO UCINET SPSS Data mining
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