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Research Trends in Global Cruise Industry Using Keyword Network Analysis
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 Title & Authors
Research Trends in Global Cruise Industry Using Keyword Network Analysis
Jhang, Se-Eun; Lee, Su-Ho;
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 Abstract
This article aims to explore and discuss research trends in global cruise industry using keyword network analysis. We visualize keyword networks in each of four groups of 1982-1999, 2000-2004, 2005-2009, 2010-2014 based on the top 20 keyword nodes' degree centrality and betweenness centrality which are selected among four centrality measurements, comparing them with frequency order. The article shows that keyword frequency collected from 240 articles published in international journals is subject to Zipf's law and nodes degree distribution also exhibits power law. We try to find out research trends in global cruise industry to change some important keywords diachronically, visualizing several networks focusing on the top two keywords, cruise and tourism, belonging to all the four year groups, with high degree and betweenness centrality values. Interestingly enough, a new node, China, connecting the top most keywords, appears in the most recent period of 2010-2014 when China has emerged as one of the rapid development countries in global cruise industry. Therefore keyword network analysis used in this article will be useful to understand research trends in global cruise industry because of increase and decrease of numbers of network types in different year groups and the visual connection between important nodes in giant components.
 Keywords
keywords;network;degree centrality;betweeness centrailty;NetMiner;cruise industry;research trends;
 Language
Korean
 Cited by
 References
1.
Borgatti, S. P., Mehra, A., Brass, D. J. and Labianca, G.(2009), "Network Analysis in the Social Sciences", Science, Vol. 323, No. 5916, pp. 892-895. crossref(new window)

2.
Chaurasia, N. and Tiwari, A.(2014), "On the Use of Brokerage Approach to Discover Influencing Nodes in Terrorist Networks", Intelligent Systems Reference Library, Vol. 65, pp. 271-295. crossref(new window)

3.
Cho, S. C., Won, Y. K., and Kim, J. H.(2012), "A Network Optimization Model for Strategic Itinerary Planning of Cruise Fleet (Korean version)", Journal of Navigation and Port Research, Vol. 36, No. 1, pp. 51-58. crossref(new window)

4.
Cyram(2013), Netminer 4.0. Seoul: Cyram Co. Ltd.

5.
Freeman, L. C.(1979), "Centrality in Social Networks: Conceptual Clarification", Social Networks, Vol. 1, pp. 215-239.

6.
Jang, H. L., Kang, G. W. and Lee, E. J.(2012), "Analysis of Research Subject Network in the Field of Oncogene (Korean version)", Journal of Korea Technology Innovation Society, Vol. 15, No. 2, pp. 369-399.

7.
Jeong, C. W. and Kim, J. J.(2012), "Analysis of Trend in Construction Using Textmining method (Korean version)", Journal of the Korean Digital Architecture and Interior Association, Vol. 12, No. 2, pp. 53-60.

8.
Kho J. C., Cho, K. T. and Cho, Y. H.(2013), "A Study on Research Trend in Management of Technology Using Keywords Network Analysis (Korean version)", Journal of Intelligent Information Systems, Vol. 19, No. 2, pp. 101-123. crossref(new window)

9.
Kwon, S. Y.(2014), "A Study on the Application to Network Analysis on the Importance of Author Keyword based on the Position of Keyword (Korean version)", Journal of the Korean Society for Information Management, Vol. 31, No. 2, pp. 121-142. crossref(new window)

10.
Kwon, K. S., Yi, J. Y., Lee, J. Y.(2014), Chae, S. W. and Han, D. S.(2014). "A Social Network Analysis on the Research Trend of Korean Medicine (Korean version)", Journal of Korea Technology Innovation Society, Vol. 17, No. 2, pp. 1-21.

11.
Lee, S. S.(2012). Network Analysis Methods (Korean version). Seoul: Nonhyung.

12.
Lee, J. and Kang, J. H.(2011), "Mapping Knowledge Domains: The Structure of Knowledge Production and the Status of Theory in Korean Sociology 2004-2010 (Korean version)", Korean Society for Social Theory, No. 19, pp. 89-144.

13.
Liang, W., Shi, Y., Tse, C. K., Liu, J., Wang, Y. and Cui, X.(2009), "Comparison of Co-occurrence Networks of the Chinese and English Languages", Physica A, 388, pp. 4901-4909. crossref(new window)

14.
Newman, M. E. J.(2005), "Power Laws, Pareto Distributions and Zipf's Law", Contemporary Physics, Vol. 46, No. 5, pp. 323-351. crossref(new window)

15.
Park, J. Y., Fu, Z. J. and Chiu, D. M.(2012) "Networking, Clustering and Brokering Keywords in the Computer Science Research", In Proceedings of Digital Information Management, pp. 110-115.

16.
Ryu, S. I. and Hyun, T. S.(2013), "Analysis of Research Trends in the Welfare Field of Public Administration (Korean version)", The Korea Contents Association, Vol. 13, No. 2, pp. 254-262. crossref(new window)

17.
Yang, S. D.(2013), "Semantic Network Analysis of Research Trend Related to Private Security (Korean version)", The Korea Contents Association, Vol. 13, No. 11, pp. 894-901. crossref(new window)

18.
Zipf, G. K.(1949), Human Behavior and the Principle of Least Effort, Oxford: Addison-Wesley Press.