通过文献计量学方法绘图和引文网络分析,采用大型复杂网络分析软件Pajek和Citespace来进行数据处理,探讨了知识演化与创新的过程。以生物医学研究领域为例,分析了该学科的知识网络特征,着重分析了网络中的主题聚类、关键路径并识别了网络中权威和核心文献,为科学知识的演化与发展提供了一个较好的理解。
In this paper, we combinebibliometrie mapping and citation network analysis to discuss the process of knowledge evolution and innovation in the Biomedical field, with the use of large network analysis software Pajek and Citespace for data processing.We analysis the characteristics of disciplinary knowledge network, mainly talk about topic clustering, the critical path and the identification of authorities and hubs documents of the network.Useful conclusions in this paper can provide a better understanding for scientific knowledge evolution and development.