基于改进信息熵的干细胞研究领域共词分析

Co-Word Analysis of Stem Cell Field Based on Improved Information Entropy

由于医学文献的主要主题词和次要主题词在文献中所反映出的重要程度不同,因此在预处理过程中首先将主要主题词和次要主题词进行加权处理。在主题遴选阶段采用改进信息熵算法对主题进行遴选,最后利用共词分析中的战略坐标分析对热点主题进行描绘。

Since primary headings and secondary headings of medical literatures show different levels of importance in literature, this paper prefers to weight primary and secondary headings in pre-treatment. During the subject screening stage, an improved information entropy algorithm is used to screen the subjects. Finally the strategic coordinate analysis in co-word analysis is used to depict the hot subjects.