• Title/Summary/Keyword: 연결 중심성

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Correlation Between Social Network Centrality and College Students' Performance in Blended Learning Environment (블렌디드 러닝 환경에서 사회 연결망 중심도와 학습자 성과 간의 상관관계)

  • Jo, II-Hyun
    • 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.

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사회연결망 분석을 이용한 컨테이너 정기선 항로 패턴 분석에 관한 연구 : 부산항을 중심으로

  • Ryu, Gi-Jin;Nam, Hyeong-Sik;Jo, Sang-Ho;Ryu, Dong-Geun
    • 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.

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Quantitative Analysis of Seoul Green Space Network with the Application of Graph Theory (그래프 이론을 적용한 서울시 녹지 연결망의 정량적 분석)

  • Kang, Wan-Mo;Park, Chan-Ryul
    • 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.

A Study of Themes and Trends in Research of Global Maritime Economics through Keyword Network Analysis (키워드 네트워크 분석을 통한 세계 해운경제의 연구 주제와 동향에 대한 연구)

  • Jhang, Se-Eun;Lee, Su-Ho
    • 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.

4S경제성 개념의 변화와 연결경쟁력 - 시스템간 경쟁과 연결의 유효성을 중심으로 -

  • 김기찬
    • Asia Marketing Journal
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    • v.1 no.1
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    • pp.3.1-3.26
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    • 1998
  • 산업구조의 고도화과정에서 개별기업들은 세분화된 전문영역의 가치활동을 담당할 수밖에 없으며, 대신 개별 기업들이 가치활동의 네트워크적 연결체제를 구축함으로써 시스템 간 경쟁체제로 이행되게 된다. 본 연구는 시스템간 경쟁상황 속에서 기업간 네트워크적 연결구조가 과연 어떠한 전략적 유효성원천을 가지는가에 관하여 살펴보고자 하였다. 이를 위해 경쟁력원천의 4가지 유형인 4 S 즉, Scale merit(규모의 경제성), Scope merit(범위의 경제성), Speed merit(속도의 경제성), System merit(시스템의 경제성)의 변천과정을 분석하였다. 시스템간 경쟁의 상황 속에서 지금까지의 경제성개념으로 설명할 수 없는 새로운 경제성 효과가 나타나게 되는데 이를 시스템경제성과 연결 경쟁력이란 개념을 통해 그 내용과 경쟁력제고의 전략적 시사점을 제시하였다. 향후 정보기술이 발전하면서 기업간 네트워킹관계를 통해 분업된 가치활동들의 연결이 보다 고도화될 것이며, 시스템 경제성의 여러 원천들이 상호 시너지적으로 결합되면서 연결경쟁력을 중심으로 한 경영패러다임의 중요성은 더욱 커질 것이다.

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Research Trends in Global Cruise Industry Using Keyword Network Analysis (키워드 네트워크 분석을 활용한 세계 크루즈산업 연구동향)

  • Jhang, Se-Eun;Lee, Su-Ho
    • 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.

Study on the Menu Navigation using Network Analysis among the Menus of Management Information System (정보시스템의 메뉴간의 네트워크분석을 통한 메뉴 네비게이션 설계에 관한 연구)

  • Lee, Min Jung;Kim, Jun Woo
    • 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.

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Investigating Journal Citation Network with Centrality Measures in the Public Administration and Policy Field (중심성지수를 이용한 행정학·정책학 관련 학술지의 상호인용 네트워크 분석)

  • Choe, Jong-Mook
    • 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.

Analysis of Connectivity between Jobs in University Libraries (대학도서관의 직무 연결성 분석)

  • Cho, Jane;Lee, Ji-Won
    • Journal of Information Management
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    • v.43 no.4
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    • pp.31-48
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    • 2012
  • Social network analysis was performed on 545 job descriptions in 32 university libraries in Seoul, and drew the job distribution and their relations. Furthermore, for finding the differences according to scale of libraries, this study performed secondary analysis by dividing them two groups. Results show that large scale library show lower density and loose connectivity than small scale library. And while jobs of small scale library were clustered 3 groups, large scale university cluster 4 groups containing 1 technical job and 3 diverse user services. And the jobs that has high specificity, such as catalog or classification, shows high degree centrality in the case of small scale library. Whereas in large scale library they show lower degree centrality, so it can be said that these jobs were performed somewhat independently in large scale libraries.

Social Networks of Nursing Units as Predictors of Organizational Commitment and Intent to Leave of Nurses (간호사의 조직몰입과 이직의도에 대한 예측변인으로서 간호단위의 사회연결망)

  • Won, Hyo-Jin
    • The Journal of the Korea Contents Association
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    • v.20 no.6
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    • pp.187-196
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    • 2020
  • This study attempted to examine the structural characteristics of the social network of nursing units by dividing them into a job-related advice network and a friendship network, and to analyze the relationship between nurse organizational commitment and intent to leave. The subjects were 420 nurses working in 4 hospitals and 30 nursing units. Data were analyzed using UCINET 6.0, SPSS 20.0 and HLM 7.0. In job-related advice networks, degree centrality of head nurse contributed to organizational commitment. Network density contributed to intent to leave. In friendship networks, closeness centrality of head nurses and betweenness centrality of charge nurse contributed to organizational commitment. Density and betweenness centrality of charge nurses contributed to intent to leave. Accordingly, it is necessary to foster good relationships between nurses and to develop various types of strategies for building effective networks.