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http://dx.doi.org/10.15207/JKCS.2017.8.5.169

Study on Research Trends in Airline Industry using Keyword Network Analysis: Focused on the Journal Articles in Scopus  

Lee, Ju-Yang (Division of Tourism, Baekseok Culture University)
Jang, Phil-Sik (Dept. of Information & Logistics of Sehan University)
Publication Information
Journal of the Korea Convergence Society / v.8, no.5, 2017 , pp. 169-178 More about this Journal
Abstract
In various research fields, it is important to identify the trends and meaningful patterns in large volumes of text data. We examined the research trends and patterns in global journal articles related to aviation and airlines from 1997 to 2016 using keyword network analysis. Keyword network models were constructed, and centrality (degree and betweenness) analysis was performed using 25,959 articles from the Scopus database. The results suggested that the recent research trends in aviation and airlines could be quantitatively described through keyword network analysis. The engineering and social science fields were the most relevant fields with keywords related to aviation and airlines. In addition, it was shown that betweenness centrality increased with the degree centrality of keywords. The results of this study could be applied to establish policies and suggest further research topics in the field of aviation and airlines based on empirical data.
Keywords
Airline; Research Trends; Scopus; Network Analysis; Centrality;
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Times Cited By KSCI : 5  (Citation Analysis)
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