• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.314-315
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• 2018

본 연구는 사회연결망 분석을 활용하여 2012년부터 2016년까지 부산항을 기항하는 컨테이너 정기선 항로 패턴 분석을 통해 세계 주요항만과의 중심성을 파악하여 부산항과 연결되어 있는 항만 네트워크의 구조적인 특성을 파악하였다. 부산항 컨테이너 정기선 항로 네트워크상에 연결정도 중심성, 근접중심성, 매개중심성이 높은 항만은 싱가포르항으로 분석되었으며, 실제 연도별 부산항 주요 국가 항만별 처리 물동량 순위와 부산항 컨테이너 정기선 항로 네트워크 중심성 분석 결과 간 순위 비교는 서로 상이한 것으로 나타났다.

• Journal of Korea Port Economic Association
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• v.32 no.1
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• pp.79-95
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• 2016

This study identifies themes and trends in maritime economics and logistics by examining 303 papers published in international journals from 2000 to 2014 using keyword network analysis. Network analysis can be used because the collected data follow Zipf's law and the power law. Utilizing the degree centrality and betweenness centrality, we find the important keywords in each five year period and determine the importance of shared keywords. To further explain keyword centralities, we invented a Delta-C algorithm to show the trends of keywords over time. We found that degree centrality is useful for identifying important research themes in each period because it is mainly concerned with the number of connections. On the other hands, betweenness centrality is useful to determine the unique themes that emerge in each of the specific periods.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.301-308
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• 2016

Writing high-quality papers and publishing them at prestigious academic journals would be something that every scholar strives for. This study made a network with nine academic journals in South Korea in the field of public administration and public policy and analyzed the influence of academic journals through social network analysis. Using centrality measures, such as degree centrality, beta centrality, and eigenvector centrality, this study found that Korean Public Administration Review has the highest influence on the journal network, followed by Korean Public Studies Review. However, different choice of centrality measure led to different ranking of journals in terms of their influence.

• The Journal of Korean Association of Computer Education
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• v.10 no.2
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• pp.77-87
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• 2007

The purpose of the study was to investigate the effects of social network centrality variables on students' performance in blended learning environment in a higher educational institution. Using data from 36-student course on Learning Theories and Their Implications on Instructional Design Practices, the researcher empirically tested how social network centrality variables - such as friendship network centrality, advice network centrality, and adversary network centrality - are correlated with academic achievement measures. Results indicate, as hypothesized, the friendship and advice centrality positively correlate with, whereas the adversary centrality being negatively correlate with application performance measures and test scores. The size and quality of posted online discussions are positively and strongly correlated with the advice network centrality.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.47-56
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• 2020

The purpose of this study was to identify the research trends and characteristics of existing research related to the AEO system. The methodology of the study was to utilize the Degree Centrality, Closeness Centrality and Betweenness Centrality presented by the Social Network Analysis (SNA). Keyword network analysis results showed that "MRA", "Logistics Security" were derived from the Degree Centrality results, "MRA", "Logistics Security" from the Closeness Centrality results, and, as a result of the Betweenness Centrality, "AEO Utilization Benefits" and "reliability" were derived from the top keyword results. The analysis of differences in centrality by period also confirmed that trends in research have changed based on specific time points. This study has implications for the study in that it presented worldwide research trends through keyword network analysis of the AEO system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.161-163
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• 2014

본 논문에서는 화면들을 이동할 때 이용하는 경로인 메뉴 네비게이션을 설계하기 위하여 사회연결망분석 방법론을 이용하여 정보시스템의 웹 화면메뉴에 적용해 보았다. 사회연결망분석의 대표적인 지수인 연결중심성과 매개중심성 값을 이용하여 효과적으로 다른 웹 화면메뉴들로 이동이 가능하도록 하였으며, 그룹간의 영향력 높은 화면들을 도출하여 이의 활용에 대해 고찰하였다. 웹 화면의 정보이동을 효율적으로 가능하게 하는 메뉴 네비게이션 설계에 대한 연구를 통해 정보시스템을 전략적으로 활용 가능하게 함으로써 정보시스템의 효율을 증대 시킬 수 있을 것으로 기대한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.10a
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• pp.164-166
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• 2014

주5일제 시행과 여가 활동으로서 여행에 대한 관심이 높아짐에 따라서 연안여객의 활용도는 높아질 것으로 예상된다. 하지만, 국내 연안여객 이용의 실태는 항로 부족, 항구의 노후화 등 개선해야할 과제가 많이 있다. 이러한 상황에서 연안여객의 대중교통화의 필요성이 제기되었다. 본 논문은 현재 연안여객의 항로 네트워크를 분석하여 대중교통화로 나아갈 수 있는 현재의 실태를 확인했다. 사용된 네트워크 분석지수는 지역중심성(degree centrality), 연결중심성(betweenness centrality)이다. 두 가지 지수에 따라 대중교통화에 기여하고 있는 항구의 순위를 확인했다. 분석결과가 연안여객의 대중교통화에 조금이나마 기여할 수 있기를 기대한다.

• Korean Journal of Environment and Ecology
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• v.25 no.3
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• pp.412-420
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• 2011

This study was conducted to quantitatively analyze the temporal change of green space network at multi-scales from 1975 to 2006 with the application of graph theory in Seoul, Korea. Remarkable change of connectivity was detected in green space networks at the scale ranging from 1,000 ~ 1,600 m during 30 years. Green spaces and their networks have been restoring after 1990 since forest areas had been fragmented in 1975. In 2006, we identified the important core habitat areas that can sustain diverse wildlife species and stepping stones composed of small patches that can link these core habitat areas. Green spaces showed high correlation with the relative importance value of green space connectivity. So, this study could graphically represent green space networks of Seoul City. Green spaces of core areas distributed at the northern and southern boundary, and those of stepping stones possessing the high value of betweenness centrality consisted at the middle, eastern and western boundary. These results indicate that green space network can be graphically and quantitatively explained by degree centrality, betweenness centrality and relative importance value of connectivity with the application of graph theory.

• Journal of Navigation and Port Research
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• v.38 no.6
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• pp.607-614
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• 2014

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.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.337-338
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• 2015

본 연구는 알츠하이머 관련 의료웹포럼을 장기적으로 사용한 사람의 사회연결망 영향력 사이의 관계를 살펴보았다. 빈도분석결과 알츠하이머 병의 의료웹포럼을 2개월 이하로 사용한 유저가 전체의 76%에 해당함을 발견하였다. 사회연결망분석을 통해 장기적으로 사용한 고객들이 연결중심성이 높은 그룹임을 확인하였고, 상관성분석 결과 연결중심성과 이용기간과의 유의한 상관성을 발견하였다. 이와 같은 결과를 통해 향후 의료 웹포럼을 활성화 시키기 위한 전략수립을 위한 기초자료를 제공하고자 하였다.