机构知识发现的可视化分析方法——以成都中医药大学机构知识库为例

Visual Analysis Method of Knowledge Discovery of Institutions——Taking the Institutional Repository of Chengdu University of Traditional Chinese Medicine as an Example

通过采用Bicomb、SPSS软件对成都中医药大学机构知识库中关键词进行共词聚类分析,可确定高频词阀值和建立共词网络;采用Gephi软件对共词网络进行可视化,可建成立体知识网络;对知识网络中不同时间段的知识节点及其直接关联网络进行对比分析,可发现机构新知识增长点。本方法具有成本低和可实现规律化推送的优点。

Using Bicomb and SPSS to conduct co-word cluster analysis on art the Key worus o, my repository of Chengdu University of Traditional Chinese Medicine, the frequency words can be identified and the co-word network can be built, and the stereo knowledge network can be shown by Gephi, finally, the new knowledge growth point can be found from the comparative analysis on the knowledge nodes in different time periods in the knowledge network and its direct association network. This method has the advantages of low cost and regular pushing.