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

DOI

10.2991/aebmr.k.210210.070How to use a DOI?

Keywords

China Society of Logistics, research topics, hotspots, time series analysis, cluster

Abstract

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.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dan Liu
AU  - Yanfeng Fang
PY  - 2021
DA  - 2021/02/21
TI  - Evolution of Research Hotpots in China’s Logistics Industry Based on Cluster Analysis
BT  - Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020)
PB  - Atlantis Press
SP  - 441
EP  - 448
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210210.070
DO  - 10.2991/aebmr.k.210210.070
ID  - Liu2021
ER  -