Journal of Navigation and Port Research (한국항해항만학회지)

Korean Institute of Navigation and Port Research (한국항해항만학회)
권호 표지
DOI QR코드

DOI QR Code

A Study of Coastal Passenger Ship Routes through Social Network Analysis Method

사회 네트워크 분석 방법을 활용한 국내 여객항로 분석 연구

  • Received : 2015.03.16
  • Accepted : 2015.05.19
  • Published : 2015.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this research, sea routes of domestic coaster liners between 2005 and 2013 were studied via social network analysis. Study of the sea routes revealed that they follow power-law in a scale-free form, a characteristic found often in social network. We have looked into centrality, which is a major standard in the field of social network analysis. We have also analyzed the annual changing trend in the centrality of the connectivity, examined the effect of quantity through the comparison with the original quantitative analysis method, and lastly, verified the relationship between the centrality of connectivity and mediation. Then, we were able to identify ports according to priority using these factors. This research assumed and interpreted the coaster liners route as a single network and suggested useful results. Based on these results, directing of development of domestic coaster liners route development and other factors will be achieved more smoothly. And if we utilize social network analysis method in other various fields - for example, the centrality of airport and the diplomatic realations analysis of the neighboring country - we will be able to effectively analyze events in diverse perspectives.

본 연구에서는 2005년부터 2013년까지 운용되었던 국내 연안여객선의 항로를 사회네트워크 분석 방법을 통해 파악하였다. 우선 국내 연안여객 항로의 네트워크 특성을 살펴본 결과 네트워크 복잡계 특성인 멱함수의 법칙을 따르는 Scale-Free 형태를 보이고 있음을 확인하였다. 본 연구에서는 사회 네트워크 분석의 중요 척도라고 할 수 있는 중심성을 바탕으로 살펴보았으며, 연도별 연결정도 중심성의 변화추세, 기존의 정량적인 방법과의 비교를 통한 양의 상관관계 확인, 마지막으로 연결정도 중심성과 매개 중심성간의 관계를 분석하여 두 가지의 척도를 기준으로 우선시되는 항구를 순위별로 확인할 수 있었다. 본 연구는 연안여객 항로를 하나의 네트워크로 간주하고 분석하여 유용한 결과를 제시하였다. 앞선 결과들을 바탕으로 국내 연안여객 항로의 개발 등 발전방향을 설정할 시 보다 효과적으로 진행이 가능할 것으로 보인다. 또한 공항의 중심성 분석, 주변국의 외교 관계 분석 등 다양한 분야에서 사회네트워크 분석 방법을 활용한다면 유용한 결과를 산출하는데 효과적일 것으로 판단된다.

Keywords

References

  1. Albert-layzio barabasi(2003), Scale-Free Networks, Scientific American, INC.
  2. Jung, H. J. et al(2011), "An Analysis on the Container Terminal Operation by Considering the Key Factors for Fluctuating Container Traffic Volume"
  3. Kang, D. J. et al.(2014), "A Study on the Liner Shipping Network of the Container Port"
  4. Kim, M. J.(2006), "A Study on the Activation of Coastal Passenger Routes in Korea : At a Management Level in the"P"Car-ferry Liner"
  5. Kim, T. J.(2011), "The Decrease of Coastal Passenger Ship User last year in 9 years", YTN News.
  6. Lee, C. K. et al(2011), "Discovering Customer Service Cool Trends in e-Commerce : Using Social Network Analysis with NodeXL"
  7. Lee, Y. S.(2005), "A Study for the Popular Transportation Plan of Coastal Passenger Ship". Master's thesis.
  8. Oh, S. Y. et al.(2009), "An Analysis for Airport Network Characteristics Assuming the Integrated Aviation Market of Korea, China and Japan", Korean society of Transportation.
  9. Park, B. S. et al.(2012), "A Study on Relation between Corporate Governance and Business Performance using Social Network Analysis", pp. 167-183.
  10. Park, K. W.(2014), "Development of Mokpo Harbour to the sightseeing and the logistics hub", Hankook Ilbo,
  11. Park, S. W.(2013), "A Study on Relation between Business Performance and Network Characteristics in Korea Medical Devices Industry"
  12. Park, Y. A. et al.(2013), "Analysis of Development of Korea-Japan Liner Routes and Characteristics of Container Throughput"
  13. Rea, L. M., & Parker, R.A.(2005), Designing & Conducting Survey Research A Comprehensive Guide(3rd Edition).
  14. Reka Albert & Albert-Laszlo Barabasi(2002), "Statistical mechanics of complex networks", Reviews of modern physics, vol 74, January 2002.
  15. Son, D. W.(2013), Social Network Analysis.
  16. Yoon, Y. S. et al(2005), The outline of complex system.
  17. http://www.haewoon.or.kr