Rapports de cas cliniques et médicaux

Evolution and Prediction of Hot Keywords in Chinese Information Science Journals

Abstract

Song Peng

Background: To find the distribution characteristics of research hotspots of periodical papers in the field of Information Science in China, and to explore the basic evolution track of academic research hotspots in the field of Information Science in China.

Methods: The key words of 21 periodical papers in the field of Information Science in China were selected for statistical analysis. The statistical time was from 2000 to 2020, and the statistical data were carried out in Wanfang database. Firstly, select the keywords that are ranked more than 30 times a year as the statistical object of hot research, and then select 60 keywords as the basic hot keywords of information journals. Secondly, the selected 60 keywords are searched in the whole discipline keywords of Wanfang database from 2000 to 2020. Finally, the personalized characteristics and global distribution characteristics of hot keywords of information journals in the whole discipline are compared and analyzed Research.

Conclusion: The experimental results show that the statistical analysis reveals the evolution track of hot keywords in three stages of Chinese information journal papers in recent 20 years. There are leading and lagging phenomena between the hot keywords of information science and the keywords of the whole discipline, which reflects the development law of mutual learning and mutual promotion between the information discipline and the whole discipline. Based on this law, we can predict the hot spots of Information Science in China in the future, and predict the 72 hot that will continue to appear and may appear in the papers of information journals in China in the future.