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http://dx.doi.org/10.3743/KOSIM.2014.31.4.049

A Content Analysis of Journal Articles Using the Language Network Analysis Methods  

Lee, Soo-Sang (부산대학교 문헌정보학과)
Publication Information
Journal of the Korean Society for information Management / v.31, no.4, 2014 , pp. 49-68 More about this Journal
Abstract
The purpose of this study is to perform content analysis of research articles using the language network analysis method in Korea and catch the basic point of the language network analysis method. Six analytical categories are used for content analysis: types of language text, methods of keyword selection, methods of forming co-occurrence relation, methods of constructing network, network analytic tools and indexes. From the results of content analysis, this study found out various features as follows. The major types of language text are research articles and interview texts. The keywords were selected from words which are extracted from text content. To form co-occurrence relation between keywords, there use the co-occurrence count. The constructed networks are multiple-type networks rather than single-type ones. The network analytic tools such as NetMiner, UCINET/NetDraw, NodeXL, Pajek are used. The major analytic indexes are including density, centralities, sub-networks, etc. These features can be used to form the basis of the language network analysis method.
Keywords
language text; language text analysis; language network; language network analysis; content analysis;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
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