Analysis of the Knowledge Map and Knowledge Modelling Based on CSSCI: A Case of China's Drug Problem Study. Issue 1 (April 2021)

• Record Type: Journal Article
• Authors: Xu, Haokang; Ding, Meng; Zhu, Ai'nan; Wu, Changming
• Is Part Of: IOP conference series. Volume 742:Issue 1(2021)
• Publication Date: 2021-04
• Subjects: Drug problem -- Knowledge map -- CSSCI -- CiteSpace -- Knowledge modelling; Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/742/1/012007
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: In this paper, CiteSpace software is used to quantitatively analyze 568 related literature in CSSCI database from 2009 to 2019, and draw the knowledge map of research keywords. Despite of a simple data or information flow diagrams, we also used the mathematical modelling to make a more comprehensive analysis. On this basis, the development history and research focus of drug research are summarized. The results show that: at present, the research on drug problem has expanded from drug problem itself to drug-related problem, mainly focusing on law and history; the research field has been refined, and quantitative research methods have been increased.