• Title/Summary/Keyword: 중심성분석

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Effects of Social Network Measures on Individual Learning Performances (친구관계 네트워크가 학습성과에 미치는 영향 -S대학 비서학전공 전문대학생들을 중심으로-)

  • Moon, Juyoung
    • The Journal of the Korea Contents Association
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    • v.15 no.11
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    • pp.616-625
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    • 2015
  • The purpose of the study is to structure the friendship network by the social network analysis and investigate the effects of social network centrality and learners' performances in college students. Both the in-degree centrality of 1st grade class study-network(t=2.722, P<.005) and the in-degree centrality of and $2^{nd}$ grade class study-network(t=2.708, P<.005)are predicted the individual student's learning performances. But there is no correlation between the in-degree centrality of $1^{st}$ and $2^{nd}$ grade class entertainment-network and the individual student's learning performances. Results of the study suggested the significant effect of social network analysis measures on learners' performance in the friendship networks. Based on the results, implication to the teaching strategy and future research direction were discussed.

Aspect of Human-Centered Design in Contemporary Design of Time and Change : Focus on Analysis of Affordance and Psychological Bases (현대 시간성 디자인의 인간중심 디자인적 측면 : 어포던스에 의거한 행태지원 측면 분석을 중심으로)

  • Hong, Eui-Taek;Lee, Jeong-Min
    • The Journal of the Korea Contents Association
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    • v.7 no.4
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    • pp.91-102
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    • 2007
  • Post-modern period differentiates itself from Modern period in many aspects. One of these is the emphasis on phenomena which are ephemeral and changing. This paper looks at the psychological bases of these expressions of time & change in contemporary design and their affordances on human behavior. It also analyzes the types of time & change design on the basis of the behaviors they afford. This will lead us to the understanding of how the design including time & change expresses the spirit of the age and how it can play positive roles in human psychology.

A Study on Women's Field Hockey Centrality Analysis using Social Network Theory (사회연결망 이론을 통한 여자필드하키 중심성분석)

  • Kim, JI-Eung;LEE, So-Mi;Park, Jong-Chul;Lee, Hee-Hwa
    • Journal of Digital Convergence
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    • v.16 no.9
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    • pp.437-442
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    • 2018
  • The study aims to identify key players through the last five passes when entering shooting circles in Korea and top four countries participated in the Rio Olympics. First, the analysis code was created using the Sports code to analyze the 29 games including Korea and the top 4 countries among 33 games. Second, Ucinet 6 has been used to analyze the Closeness Centrality of each country. The results of the study show that Korea is a key player in No.13 FW, New Zealand in No.1 MF, Germany in No.5 DF, Netherlands in No.9 MF and U.K in No.8 MF. In particular, the two teams that advanced to the finals saw their proximity center index average over 60. Based on these results, it is expected that the analysis of women's field hockey matches will serve as a tool to identify key players.

Knowledge Structures in Knowledge Organization Research: 2000-2011 (정보조직 지식구조에 대한 연구 - 2000년~2011년 학술논문을 중심으로 -)

  • Park, Ok-Nam
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.22 no.3
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    • pp.247-267
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    • 2011
  • The purpose of this study is to investigate knowledge structure of knowledge organization research area in Korea. The study employed content analysis and network analysis to analyze degree centrality, betweenness, and eigenvector as well as frequency of words. It also analyzes research articles published during the period of 2000-2001. The study can be summarized that the network of keywords of knowledge organization researches is compact and complicated. Cataloging and classification play important roles in the network, and metadata and ontology becomes focal areas in knowledge organization. On the other hand, networks of authorships and authors are broad and fragmented. Collaboration is not active enough.

Analysis of Trends in Science and Technology using Keyword Network Analysis (키워드 네트워크 분석을 활용한 과학기술동향 분석)

  • Park, Ju Seop;Kim, Na Rang;Han, Eun Jung
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.2
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    • pp.63-73
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    • 2018
  • Academia and research institutes mainly use qualitative methods that rely on expert judgments to understand and predict research trends and science and technology trends. Since such a technique has the disadvantage of requiring much time and money, in this study, science and technology trends were predicted using keyword network analysis. To that end, 13,618 AI (Artificial Intelligence) patent abstracts were analyzed using keyword network analysis in three separate lots based on the period of the submission of each abstract: analysis period 1 (January 1, 2002 - December 31, 2006), analysis period 2 (January 1, 2007 - December 31, 2011), and analysis period 3 (January 1, 2012 - December 31, 2016). According to the results of frequency analyses, keywords related to methods in the field of AI application appeared more frequently as time passed from analysis period 1 to analysis period 3. In keyword network analyses, the connectivity between keywords related to methods in the field of AI application and other keywords increased over time. In addition, when the connected keywords that showed increasing or decreasing trends during the entire analysis period were analyzed, it could be seen that the connectivity to methods and management in the field of AI application was strengthened while the connectivity to the field of basic science and technology was weakened. According to analysis of keyword connection centrality, the centrality value of the field of AI application increased over time. According to analysis of keyword mediation centrality during analysis period 3, keywords related to methodologies in the field of AI application showed the highest mediation value. Therefore, it is expected that methods in the field of AI application will play the role of powerful intermediaries in AI hereafter. The technique presented in this paper can be employed in the excavation of tasks related to regional innovation or in fields such as social issue visualization.

Evaluation of Results in Recent Flexible Solar Cell Research Trends via Network Analysis Method (네트워크 분석을 이용한 플렉시블 태양전지 최근 연구동향 분석)

  • Byun, Kisik;Lim, Jae Sung;Park, Jae Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.6
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    • pp.600-613
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    • 2018
  • The purpose of this research was to introduce a network analysis method for analyzing the recent trend of the flexible solar cell using a scholarly database. Based on the five years from 2013 to 2017, we used centrality analysis of research papers via measurement of degree centrality, closeness centrality, and betweenness centrality. The results of network analysis show that cell has a centrality value above 0.8, which means that cell is connected with 80% of the total keywords, so it is recognized as the center of flexible solar cell research. The analysis results also indicate that perovskite and copper indium gallium diselenide (CuInGaSe2, or CIGS) are the center of the subgroup for cell. We recognize that the result refers to recent new technology called the CIGS/perovskite tandem solar cell. We hope that the network analysis method will be the appropriate and precise tool for technology and research planning via elaboration and optimization.

Social Network Analysis of Shared Bicycle Usage Pattern Based on Urban Characteristics: A Case Study of Seoul Data (도시특성에 기반한 공유 자전거 이용 패턴의 소셜 네트워크 분석 연구: 서울시 데이터 사례 분석)

  • Byung Hyun Lee;Il Young Choi;Jae Kyeong Kim
    • Information Systems Review
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    • v.22 no.1
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    • pp.147-165
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    • 2020
  • The sharing economy service is now spreading in various fields such as accommodation, cars and bicycles. In particular, bicycle-sharing service have become very popular around the world, and since September 2015, Seoul has been providing a bicycle-sharing service called 'Ttareungi'. However, the number of bicycles is unbalanced among rental stations continuously according to the user's bicycle use. In order to solve these problems, we employed social network analysis using Ttareungi data in Seoul, Korea. We analyzed degree centrality, closeness centrality, betweenness centrality and k-core. As a result, the degree centrality was found to be closely linked with bus or subway transfer center. Closeness centrality was found to be in an unbalanced departure and arrival frequency or poor public transport proximity. Betweenness centrality means where the frequency of departure and arrival occurs frequently. Finally, the k-core analysis showed that Mapo-gu was the most important group by time zone. Therefore, the results of this study may contribute to the planning of relocation and additional installation of bike rental station in Seoul.

Accessibility to the Central City and the Development of Backward Regions : Towards a New Spatial Strategy (중심도시 접근성과 낙후지역 발전방안 : 새로운 공간전략의 모색)

  • Lee, Wonho
    • Journal of the Korean association of regional geographers
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    • v.19 no.3
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    • pp.436-445
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    • 2013
  • This study, by focusing on the concept of accessibility to the central city, analyses its importance for understanding baward regions and aims to investigate a new spatial strategy for developing backward regions in Korea. The study investigates the EU accessibility case study and formulates the methodological framework for the analysis, which is applied to the case of Jeonnam-do and Gyeongbuk-do in order to evaluate the backwardness of the regions in terms of the accessibility to the central city. Finally, this paper discusses a new spatial strategy for developing backward regions based on the concept of the accessibility to the central city, which includes the creative expansion of rural public services and promoting efficient delivery system, improving public and private service provision through the accessibility to the central city and securing long-term development potential through investing in regional human capital.

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수중주거시설 동적계류안정성 설계 연구

  • Park, Sang-Uk;Lee, Han-Seok
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.11a
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    • pp.130-133
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    • 2019
  • 수중(submerged)에 부유(floating)식으로 계류되는 거주목적의 구조체 설계(design basis) 관련 연구로서 계류안정성 모델(수중가옥)을 만들고 거동을 정수압적 유체역학적으로 수치분석한다. 임의 가정한 수중가옥의 1)배수량 규모 2) 함체형상에 따른 환경압 하에서의 계류안정성을 a)부력중심, b)무게중심과 가변하중의 변위에 따른 c)함체 기울기를 MATLAB프로그램을 이용하여 산정한다. 나아가 수중가옥의 동적(hydrodynamic) 계류안정성을 임의 시공 장소인 독도의 기상청 울릉도-독도 부이 최근 관측치를 근거로 OrcaFlex프로그램을 이용하여 분석하므로써 수중가옥의 수중건축 시공간상 계류안정성 설계요건(design basis)을 구체화 한다.

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The Trends of Youth Research: 'Korean Journal of Youth Studies' in 2010-2018 (청소년 연구의 동향 : 2010년~2018년의 '청소년학연구'지를 중심으로)

  • Chang, Cin-Jae;Lee, Won-Jie
    • Journal of the Korea Convergence Society
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    • v.10 no.12
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    • pp.307-314
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    • 2019
  • This paper was intended to identify the knowledge structure of youth-related research by looking at the research trends of research papers published in Korean Journal of Youth Studies from 2010 to 2018. Using keywords extracted from the papers, the Centrality and Cohesion analysis of the keyword network analysis of the NetMiner program were used. In the analysis of degree centrality, the "relationship" was the highest, followed by schools and youth, and high in the order of parents and violence. In the analysis of betweenness centrality, the "relationship" was also the highest, followed by youth, school, need, education, parents, children, abuse/emotion(the same level), institutions, regions, cell phones/prevention/welfare(the same level), elementary, attachment, suicide, addiction, society, violence, children, services, support, policy/teachers(the same level). According to the cohesion analysis, school life and policy, addiction, parent & peer relations, civic education & welfare support, sentiment and thinking, college, abuse & suicide were divided into a total of seven sub-topic subjects.