：研究学科发展趋势一直都是科研工作者关注的重要课题，然而现有的分析方法无法在挖掘学科热点的同时探究热点其类团的变化情况。文章构建了词频分析和共词分析融合的关键词频度演化模型，以揭示学科热点及其类团结构的变化情况。以图书馆学、情报学影响因子靠前的3种期刊以及国家社会科学基金为研究对象，借助所构建的频度演化网络模型，比较了基金主题与期刊研究热点关联关系，揭示了研究热点和主题结构变化情况。研究发现，通过设定词频增长阈值对关键词进行筛选，不仅可以有效挖掘研究发展趋势，还可对比不同分类条件下研究热点的异同；在与g指数方法的比较中能有效提前挖掘学科热点的出现时间，为科研人员的研究提供重要参考。

The development trend of research discipline has always been an important topic of concern to researchers, but the existing analysis methods cannot explore the changes of hotspots while excavating the hotspots of discipline. Therefore, by building a model of keyword frequency evolution based on word frequency analysis and Co-word Analysis fusion can reveal the changes of hot topics and their class structure in a panoramic way. Based on the three journals of library science and information science and the national social science fund, the frequency evolution network model based on word frequency change is constructed to reveal the research hotspots and the theme structure changes. By setting the threshold of word frequency growth to screen keywords, not only the development trend of research is effectively excavated, but also the similarities and differences of research hotspots under different classification conditions are compared. Compared with the g-index method, it can effectively excavate the emergence time of subject hotspots in advance, which provides an important reference for the research of scientific researchers.