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KMID : 0894920210210020073
Journal of the Korean Association for Persons with Autism
2021 Volume.21 No. 2 p.73 ~ p.94
Exploring the Knowledge Structure of the ¡°Journal of the Korean Association for Persons With Autism¡± using Keyword Network Analysis
Choi Mi-Sug

Abstract
This study aims to explore the knowledge structure of the autism spectrum disorder literature and its¡¯ periodic change. A total of 112 keywords were extracted from 224 articles in the ¡°Journal of the Korean Association for Persons With Autism.¡± After standardizing the keywords, the structural characteristics of the keyword network, keyword centralities and clusters were analyzed. Visualization of the results using NetMiner 4.4 was also completed. The keyword networks of two periods from 2000 to 2013 and 2014 to 2021 were compared to identify the periodic change of the literature. The research findings are as follows. First, the entire keyword network and those of two different times consist of two components with low coherence. Second, the keywords with high centrality are ¡°autism spectrum disorder,¡± ¡°Asperger syndrome,¡± ¡°sociality,¡± ¡°problematic behaviors,¡± and ¡°early intervention,¡± although a slight difference between the two periods was detected. Cluster analysis yielded nine sub-structures for the research field, five sub-structures for that of the first period, and eleven sub-structures for that of the later period. The implications of the findings, significance, and limitation of the study were discussed.
KEYWORD
Journal of the Korean Association For Persons With Autism,, knowledge structure, analysis of a keyword network
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