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Network Analysis using Cross-citation Frequency of Clothing & Textiles -Related Journals

의류 관련 학술지의 상호인용 빈도를 이용한 네트워크 분석

  • Choi, Kyoung-Ho (Dept. of Basic Medical Science(Statistics Major), Jeonju University) ;
  • Choi, Jin-Hee (Dept. of Fashion Business, Jeonju University)
  • Received : 2014.04.02
  • Accepted : 2014.06.20
  • Published : 2014.06.28

Abstract

The purpose of this study was twofold: 1) to analyze the impact factor of clothing and textile-related journals by utilizing the average number of cross-citation that evaluates the relative importance of an academic journal and 2) to provide a list of journals with higher impact factor by analyzing closeness and betweenness among individual journals through graph networks. To fulfill this, a total of 10 clothing and textile-related journals, which are accredited by National Research Foundation of Korea, were analyzed. For analysis of the average number of cross-citation, the targeted research papers were limited to those published between 2008 and 2011 and they were derived from the Korea Citation Index. The software used for network analysis was R ver. 2.15. The results of the study were as follow: First, 'The Korean Society of Knit Design' was indicated as the highest rate of self-citation, followed by 'Journal of the Korean Fashion & Costume Design Association.' Secondly, the average impact power of clothing & textile-related journals was relatively lower (0.681) compared to that (1.00) of 23 journals under the human ecology discipline. 'Korean Journal of Human Ecology' was found to have impact factor of 1.24, which was higher than the average impact factor of human ecology-related journals. Lastly, together with 'Journal of the Korean Society of Clothing and Textiles.'

Keywords

Impact factor;Cross-citation;Social network;Clothing-related journal;Network

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Cited by

  1. Investigating Journal Citation Network with Centrality Measures in the Public Administration and Policy Field vol.14, pp.9, 2016, https://doi.org/10.14400/JDC.2016.14.9.301