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http://dx.doi.org/10.3743/KOSIM.2021.38.1.169

An Investigation on the Network Analysis Papers by Content Analysis and Bibliometric Analysis  

Chung, EunKyung (이화여자대학교 사회과학대학 문헌정보학과)
Publication Information
Journal of the Korean Society for information Management / v.38, no.1, 2021 , pp. 169-190 More about this Journal
Abstract
Research in various academic fields using network analysis techniques has been conducted and grown. This study performed bibliographical analysis and content analysis on a total of 2,187 network analysis papers published in journals from 2003 to 2021. The results showed that the fields of Pedagogy, Interdisciplinary Research, Computer Science, Library and Information Science, Public Administration, and Business Administration were higher in terms of the number of research papers. From the perspective of journal, mega-journals were indicated as the most productive journals. However, when looking at the impact based on the number of citations, the strength of Public Administration, Library and Information Science, and Pedagogy is clearly revealed. The results of the analysis by authors can also confirm the higher impact of Journalism, Public Administration Science, and Library and Information Science. Of the 1,537 authors identified, very few authors are active in research, confirming the need to expand the researcher base. The results of content analysis showed that the weighted and non-directional network was the most common network type with using the research papers as a data set. Generally nodes are expressed as words and links are expressed as relationship. For network analysis, the use of KrKwic, UCINET, NetMiner, and NetDraw is the most prominent.
Keywords
network; network analysis; review; content analysis; bibliometric analysis;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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