Open AccessThe Dynamic Trend and Hotspot in the Clothing Field in China in Recent Five Years——Based on the Visualization of CNKI Mapping Knowledge Domain
Author(s) -
Shuchang Zhu,
Kai Wang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/719/1/012022
Subject(s) - clothing , visualization , field (mathematics) , china , grasp , computer science , data science , research object , domain (mathematical analysis) , software , geography , data mining , regional science , software engineering , mathematics , mathematical analysis , archaeology , pure mathematics , programming language
This paper took the recent literature in the field of clothology in China as the object to reveal new researching characteristics and to provide references for relevant industrial development. Based on the mapping knowledge domain, this paper adopts literature research method to analyze the sample literature by co-word analysis and so on. Studies show that, research in the field has drawn tremendous attention and exhibit a steady development. The related researches, meanwhile, are concentrated in three field of textile industry, industrial economy and fine arts. The hot spots could be summarized in three aspects: fashion design, apparel culture and fashion brand. Innovations: basically the relevant researches in this field used the foreign specialized software such as CiteSpace, which relatively more difficult. In this paper we provide a new research approach - a visual analysis embedded in CNKI. It combines the multiple functions of specialized software. Especially its” co-occurrence matrix analysis” and “keywords co-occurrence network” cluster analysis, make ordinary customers could grasp them.