主题热度加速度指数——学科研究热点识别新方法

Purpose/significance] The horizontal and longitudinal comprehensive identification of research hotspots at different time stages is helpful to grasp the development course and direction of the discipline, and expands research ideas for hot topic identification methods. [Method/process] The cumulative topic popularity model TP was constructed to reflect the horizontal research heat of the topic in the discipline. The topic acceleration index model TAI was built to quantify the longitudinal speed change of the development of the research topic. TP*TAI model was constructed to identify the hot spots of subject research, which reflected the research heat and its change comprehensively from both horizontal and longitudinal aspects. [Result/conclusion] The empirical analysis on the literatures of LIS from 2001 to 2020 shows that the model can effectively identify the research hotspots in different time stages, and distinguish three types, namely frontier, stable and declining, to realize the dynamic description of the subject research.