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KMID : 1148220180140030091
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Journal of Arts Psychotherapy
2018 Volume.14 No. 3 p.91 ~ p.114
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Research Trend of ‘Journal of Arts Psychotherapy Research’ Using Semantic Network Analysis Methods
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Oh Seoung-Jin
Kwon Choong-Hoon
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Abstract
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The purpose of this study is to investigate research trends in the field of art therapy by analyzing the papers published in the Journal of Arts Psychotherapy Research. The subjects of the study were 275 articles in the Arts Psychotherapy Research from 2012 to 2017(recently 6 years). In order to extract the key words in the title of the study, KrKwic(Korean Key Words in Context), Korean text analysis software developed and distributed by Park, Han-woo and Loet Leydesdorff(2004) Program. The semantic network analysis program for major key words is the UCINET6 program and the NetDraw program. The results of the study are as follows. First, major key word extraction results were obtained from art therapy program(64), group (59), youth(31), children(30), music therapy program(24), self-esteem (23), inclusion(21), arts therapy(19), depression(18). Second, the density of semantic network among major key words is 0.464, and the average degree of major key words is about 22.720. In a dense network, the connections between the key words are activated and a wide variety of topics are covered. In order to analyze and present the characteristics of semantic networks of major key words, three kinds of centrality(degree, closeness, betweenness) were verified and the results were presented as a semantic network map. This study analyzed the research trends in the field of arts psychotherapy by analyzing ‘Journal of art psychotherapy research’, explored the lacking areas in the field of arts psychotherapy.
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KEYWORD
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Journal of Arts Psychotherapy Research, Semantic Network Analysis, Research Trend, Arts Psychotherapy
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