Earticle

초록

영어

This article aims to identify themes and trends of global offshore industry research by examining 800 papers collected from international journals through incorporation of corpus and language network keyword network analysis. Themes and trends are discussed with important keywords representing each giant component of four five-year periods from 1995 to 2014. We visualized keyword networks based on the whole keyword nodes belonging to each giant component drawn by using degree centrality. We tried to explore how the important keywords have changed over time and what the recent important keywords are. The paper shows that frequency of keywords is subject to Zipf's law and degree distribution of keyword nodes also exhibits power law. Therefore keyword network analysis used in this paper will be useful to identify and understand themes and trends of global offshore industry research because of some patterns of important keywords by year as well as the visual connection between important nodes in giant components.

목차

Abstract
 1. 서론
 2. 이론적 배경 및 선행연구
  2.1. 이론적 배경
  2.2. 선행연구
 3. 자료 및 연구방법
  3.1. 자료
  3.2. 연구방법
 4. 연구결과
  4.1. 대집단 컴포넌트 네트워크와 연결중심성 시각화
  4.2. 연도 기간별로 공유키워드와 신규키워드의 양적 비교
  4.3. 공유키워드 분석
  4.4. 신규키워드 분석
 5. 결론
 참고문헌

저자

• 장세은 [ Se-Eun Jhang | 한국해양대학교 ] 제1저자
• 이성민 [ Sung-min Lee | 한국해양대학교 ] 제2저자
• 이수상 [ Soo-Sang Lee | 부산대학교 ] 제3저자
• 김재훈 [ Jae-hoon Kim | 한국해양대학교 ] 교신저자

참고문헌