Evolution of Research Hotpots in China’s Logistics Industry Based on Cluster Analysis

Topic is a highly condensed content of the subject research. Word frequency analysis, time series and cluster analysis can reveal the core content, research hotspots and directions of the subject research. In order to detect the research hotspots and direction trends of China's logistics industry, this paper obtains 2,342 academic topics from 2011-2019 from the official website of China Society of Logistics. Through Chinese words segmentation and text mining, 91 high-frequency words are obtained. The paper conducts time series and cluster analysis of hot words and finds that the society subject shows the characteristics of not obvious differences in themes, strong interdisciplinarity, attention to national strategy and policy guidance, and attention to public events and so on. It also points out that future research topics should focus on differences, continue to play to the interdisciplinary nature and pay attention to the application of new technologies.