Knowledge Map Analysis of Mao Zedong Thought Research Based on CSSCI Papers

Autor: Kejing He, Xiaxu He, Weifeng Zhang, Pengfei Liu
Rok vydání: 2019
Předmět:
Zdroj: 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).
DOI: 10.1109/icccbda.2019.8725762
Popis: Using China HowNet database as the data source, while collecting 1362 Chinese Social Sciences Citation Index (CSSCI) papers on Mao Zedong Thought from 2006 to 2015 as samples, with the help of co-word analysis method and visualization technology of bibliometrics, a comprehensive knowledge map of research hotspots is drawn. Visual atlas shows the research hotspots and co-authors of Mao Zedong Thought in the past ten years, which is helpful to understand the characteristics of the knowledge structure of the research, to discover the important influential scholars and their cooperation, and to promote the exchange and research cooperation among scholars. According to the guidance of knowledge atlas, the hot topics of research are further excavated.
Databáze: OpenAIRE