基于共词分析的国内科技查新论文主题研究

Subject Study of Papers on Sci-tech Novelty Retrieval in China Based on Co-word Analysis

通过检索近5年国内科技查新相关论文,利用Bicomb软件提取高频关键词、构建高频关键词共词矩阵和相异矩阵,并利用SPSS和UCINET软件进行网络分析、聚类分析以及战略坐标图等可视化分析。结果表明,近年来关于科技查新的研究主题可以划分为科技查新组成要素、科技查新对科技创新的作用、查新点及其新颖性、文献检索及数据库、查新质量的影响因素、质量控制及评价、查新管理系统、医药卫生查新、存在问题及对策9个类别,并逐一进行论述。通过论述研究主题的内涵、特征等,以期为促进科技查新工作的发展提供决策参考。

This paper searched the papers on sci-tech novelty retrieval in recent 5 years in CNKI database, extracted and defined high-frequency keywords. Then it established the co-word matrix and dissimilarity matrix of keywords to con- duct network analysis, cluster analysis and strategic diagram analysis by SPSS and UCINET. The result showed that sci-tech novelty retrieval in China focused on 9 research themes including composition elements of sci-tech novelty retrieval, roles of sci-tech novelty retrieval in sci-tech innovation, technologic points of sci-tech novelty retrieval and its novelty, literature search and database, influence factors of novelty retrieval quality, quality control and eval- uation, management system, medical and health novelty retrieval, existing problems and countermeasures, which were then elaborated one by one in detail. Through discussing the connotation and characteristic of above mentioned research topics, it tried to provide decision-making reference for stimulating the development of sci-tech novelty retrieval.