Visualization Study on Hot Spots of Research on Siraitiae Fructus in Recent Ten Years Based on Double Clustering Analysis
10.3969/j.issn.1005-5304.2017.11.022
- VernacularTitle:基于双聚类的近10年罗汉果研究热点可视化分析
- Author:
hua Jian FAN
1
;
Min LIANG
;
ming Bu LIU
Author Information
1. 广西中医药研究院
- Keywords:
Siraitiae Fructus;
double clustering analysis;
visualization;
BICOMB;
gCLUTO;
Ucinet;
SPSS;
data mining
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2017;24(11):91-95
- CountryChina
- Language:Chinese
-
Abstract:
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 20th, 2017. BICOMB, NetDraw, gCLUTO 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.
