• 제목/요약/키워드: Social network centrality

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소셜 네트워크 분석(SNA)을 이용한 실과(기술·가정)교육 분야 연구 동향 분석 (Research Trend Analysis on Practical Arts (Technology & Home Economics) Education Using Social Network Analysis)

  • 김은정;이윤정;김지선
    • Human Ecology Research
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    • 제56권6호
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    • pp.603-617
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    • 2018
  • This study analyzed research trends in the field of Practical Arts (Technology & Home Economics) education. From 958 articles published between 2010 and 2018 in the Journal of Korean Practical Arts Education (JKPAE), Journal of Korean Home Economics Education Association (JHEEA), and Korean Journal of Technology Education Association (KJTEA), 958 keywords were extracted and analyzed using NetMiner 4. When the general network structure was analyzed, keywords such as practical arts education, curriculum, textbook, home economics education, and students were high in the degree centrality and closeness centrality, and textbook, practical arts education, curriculum, student, home economics education, and invention were high in the node betweenness centrality. The cluster analysis showed that a four-cluster solution was most appropriate: cluster 1, technology and experiential learning activities; cluster 2, curriculum studies and practical problem; cluster 3, relationships; and cluster 4, creativity and character education. The three journals showed differences in the knowledge network structure: The topics of JKPAE and JKHEEA focused on general content knowledge and curriculum, while the topics of KJTEA were spread across invention and creativity education, and curriculum studies.

한국의 중남미 지역연구 네트워크와 중심성 및 무역과 경제에 대한 토픽 변동분석 (Network, Centrality, and Topic Analysis on Korea's Trade and Economy with Latin America and the Caribbean Area)

  • 이재득
    • 무역학회지
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    • 제47권6호
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    • pp.189-209
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    • 2022
  • This study aims to analyze Latin America and the Caribbean papers published in Korea during the past 2000-2020 years. Through this study, it is possible to understand the main subject and direction of research in Korea's Latin America and the Caribbean area. As the research mythologies, this study uses the text mining and Social Network Analysis such as frequency analysis, several centrality analyses, and topic analysis. After analyzing the empirical results, there has been a tendency to change the key words and centrality coefficients between 2000-2010 and 2011-2020 years. During 2011-2020 years, the most frequent keywords were changed from Neoliberalism and culture to policy education, and economy related words. The degree and closeness centrality analyses appeared the higher frequency key words. However, the eigenvector centrality appeared very different from the order of frequency key words. The topic analysis shows that the culture, language, and Neoliberalism were the most important keywords during 2000-2010 years but economy, labor trade, industry, development became the most important keywords during 2011-2020 years in topics.

GBS 학습 환경 하에서 상호작용 연구를 위한 사회 연결망 분석 기법의 적용 (Application of Social Network Analysis on Learner Interaction in a GBS Learning Environment)

  • 조일현
    • 컴퓨터교육학회논문지
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    • 제6권2호
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    • pp.81-93
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    • 2003
  • 본 연구의 목적은 웹기반 GBS(Goal-Based Scenario) 학습 환경에서 학습자-학습자, 학습자-온라인교사간 상호 작용을 계량화시켜 파악할 수 있는 기법으로서 사회 연결망 분석(Social Network Analysis. 이하 SNA)의 가능성에 대해 살펴보는 것이다. 이러한 연구 목적의 달성을 위해 먼저 사회학과 인류학 분야를 중심으로 최근 활발히 활용되고 있는 이 기법의 이론적 및 방법론적 배경을 살펴보고, 이어서 GBS 설계 방식으로 개발된 웹 기반 기업교육 운영 과정에서 생성된 질문방 log file을 활용하여 SNA 변인 중 하나인 중심도(centrality)와 학업 성취도 및 팀활동 기여도 간의 상관관계를 분석하는 탐색적 실증 연구를 실시하였다. 연구의 결과, 중심도는 학업 성취도, 특히 적용 평가 등 고차학습 성취도 및 동료들에 의해 평가된 팀 학습 기여도와 높은 상관이 있음이 나타났다. 결론으로서 이러한 연구 결과가 제시하는 교수 설계적 함의 및 그 제한성에 대해 살펴보고 아울러 향후 연구 방향에 대한 제언을 덧붙였다.

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제품 네트워크 분석을 이용한 고객의 구매제품 특성 비교 연구 (Product Network Analysis to Analyze the Purchase Behavior of Customers)

  • 최일영;김재경
    • 한국경영과학회지
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    • 제34권4호
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    • pp.57-72
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    • 2009
  • As development of information technologies, customer retention has been an important issue in the competing environment. A lot of researches focus on prediction of the churning customers and seeking their characteristics. However, relationships among customers or products have not been considered in existing researches. In this study, product networks are proposed and analyzed to investigate the differences of network characteristics of products purchased by potential churning customers and those of loyal customers. The product networks are constructed from real product purchase data collected from a Korean department store. We investigated the characteristic differences, such as the degree centrality, degree centralization, and density, of two product networks constructed by potential churning customers and the loyal customers. The results indicate that degree centrality, density and degree centralization of the product network of the loyal customers are higher than those of the potential churning customers. And the promotional products of the department store are resulted to be effective in attracting the loyal customers.

대한안전경영과학회지의 연구 주제에 대한 사회 연결망 분석 (A Social network analysis on the research subjects in Journal of Korean Safety Management and Science)

  • 양병학
    • 대한안전경영과학회지
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    • 제15권2호
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    • pp.161-166
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    • 2013
  • The purpose of this research is to analyse the research subject in journal of Korean safety management and sciences. Total 1850 key words in 560 papers were analysed by the Pajek system which is one of well known social network analysis tool. Key words trend from 2008 to 2012 was examined. Then the relationship among each key words was visualized. There were five key words group which strongly connected among key words. The degree centrality, between centrality, proximity prestige on each key words were calculated to verify influence degree to other key words.

Study of Mental Disorder Schizophrenia, based on Big Data

  • Hye-Sun Lee
    • International Journal of Advanced Culture Technology
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    • 제11권4호
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    • pp.279-285
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    • 2023
  • This study provides academic implications by considering trends of domestic research regarding therapy for Mental disorder schizophrenia and psychosocial. For the analysis of this study, text mining with the use of R program and social network analysis method have been used and 65 papers have been collected The result of this study is as follows. First, collected data were visualized through analysis of keywords by using word cloud method. Second, keywords such as intervention, schizophrenia, research, patients, program, effect, society, mind, ability, function were recorded with highest frequency resulted from keyword frequency analysis. Third, LDA (latent Dirichlet allocation) topic modeling result showed that classified into 3 keywords: patient, subjects, intervention of psychosocial, efficacy of interventions. Fourth, the social network analysis results derived connectivity, closeness centrality, betweennes centrality. In conclusion, this study presents significant results as it provided basic rehabilitation data for schizophrenia and psychosocial therapy through new research methods by analyzing with big data method by proposing the results through visualization from seeking research trends of schizophrenia and psychosocial therapy through text mining and social network analysis.

텍스트마이닝을 활용한 HPV 백신 접종 관련 연구 동향 분석 (A Text Mining Analysis of HPV Vaccination Research Trends)

  • 손예동;강희선
    • Child Health Nursing Research
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    • 제25권4호
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    • pp.458-467
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    • 2019
  • Purpose: The purpose of this study was to identify human papillomavirus (HPV) vaccination research trends by visualizing a keyword network. Methods: Articles about HPV vaccination were retrieved from the PubMed and Web of Science databases. A total of 1,448 articles published in 2006~2016 were selected. Keywords from the abstracts of these articles were extracted using the text mining program WordStat and standardized for analysis. Sixty-four keywords out of 287 were finally chosen after pruning. Social network analysis using NetMiner was applied to analyze the whole keyword network and the betweenness centrality of the network. Results: According to the results of the social network analysis, the central keywords with high betweenness centrality included "health education", "health personnel", "parents", "uptake", "knowledge", and "health promotion". Conclusion: To increase the uptake of HPV vaccination, health personnel should provide health education and vaccine promotion for parents and adolescents. Using social media, governmental organizations can offer accurate information that is easily accessible. School-based education will also be helpful.

의미네트워크 분석법을 이용한 근대 건축문화유산의 보존과 활용에 관한 사회적 논의 분석 - 부산광역시 근대건조물 구)한성은행 부산지점(청자빌딩)을 중심으로 - (An Analysis of Social Discussion on Preservation and Utilization of Modern Architectural Heritage using Semantic Network Analysis - Focussed on the former Busan Branch of Hansung Bank(Cheong-Ja Bldg) as a Modern Heritage -)

  • 안재철
    • 대한건축학회논문집:계획계
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    • 제35권7호
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    • pp.101-108
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    • 2019
  • In this research, I conducted a semantic network analysis centering on media articles on purchasing, revitalizing, and utilizing the former Busan branch of Hansung Bank, a modern architectural heritage. We sought the most efficient analysis elements for the analysis of the social arguments about preservation and utilization embedded in media articles. For this reason, Degree Centrality measures how many connections the word described in the media article has, and Betweenness Centrality measures the influence that controls the flow of information through correlation I examined. In addition, keyword that express the theme well examined the aggregation structure in each sub-network. In this research, in theoretical terms, it makes sense in that the social discussion embedded in the article of the mass media is grasped empirically through semantic network analysis of words. Methodological aspect is best when it includes nouns and adjectives and the distance between words is more than four words in the analysis of the cohesive structure of the semantic network to determine whether the influence of social discussions is best assessed through the connection between words to media articles.

SNA를 활용한 연안해운 중심성 평가에 관한 연구 (A Study on the Evaluation of Coastal Shipping's Centrality Using a Social Network Analysis)

  • 이해찬;박성훈;여기태
    • 디지털융복합연구
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    • 제19권2호
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    • pp.69-81
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    • 2021
  • 연안해운은 국가 기간 운송망으로서 중추적인 역할을 수행하고 있으며, 도로운송에 비해 저렴한 비용으로 경제적인 운송이 가능하다는 측면에서 가치가 높다. 이러한 측면에서 본 연구는 국내 연안해운 중심성 분석을 통해 연안해운 항로 네트워크의 특성 및 중심성 변화를 살펴보는 것을 연구의 목적으로 한다. 이를 위하여 연안해운의 네트워크의 특성을 분석할 수 있는 SNA(Social Network Analysis) 분석방법을 활용하였다. 연구결과, 전라남도가 In-Degree 및 Out-Degree 모두 가장 높은 순위를 기록하며 연결 중심성이 제일 높은 것을 확인하였다. 매개 중심성은 전남이 가장 높은 순위를 보였으며, 근접 중심성의 경우 강원이 가장 높은 순위를 보였다. 허브와 권위 중심성 결과 전남이 가장 높은 순위를 기록했고, 경남, 강원 등의 순으로 높은 중심성이 도출됐다. 마지막으로, 허브 인덱스(Hub Index) 결과, 전남이 1순위로 도출됐으며, 인천, 기타지역, 강원 순으로 순위를 기록했다. 본 연구는 연안해운의 중추적인 역할을 맡고 있는 시·도 및 관련 품목을 제시하였다는 시사점이 있다. 향후 연구에서는 시·도에 속한 항만별 연구를 통해 연안해운의 흐름을 파악할 필요가 있다.

벤처기업가의 정치적 기술과 사회적 네트워크의 하위요인 간의 구조적 관계모형 (A Structural relationship model in consideration of subordinate factors between venture entrepreneurs' political skill and social network)

  • 정대용;김춘광
    • 한국산학기술학회논문지
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    • 제12권2호
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    • pp.718-727
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    • 2011
  • 본 연구는 중소 벤처기업들의 태생적 약점을 극복하게 해 주는 것으로 알려진 사회적 네트워크와 그 원천인 정치적 기술 간의 관계구조를 실증 고찰한 연구이다. 211명의 벤처기업가 응답을 근거로 한 구조방정식 모형 분석 결과, 첫째 네트워킹 능력은 사회적 네트워크의 약한 유대(${\beta}$=.527, C.R.=3.626), 강한 유대(${\beta}$=.594, C.R.=3.969), 네트워크 중심성(${\beta}$=.418, C.R.=4.884)에 모두 유의하고 강한 정(+)의 영향을 미치는 것으로 나타났으며, 둘째, 사회적 통찰력 역시 약한 유대(${\beta}$=.192, C.R.=1.701), 강한 유대 (${\beta}$=.269, C.R.=2.509) 그리고 네트워크 중심성(${\beta}$=.228, p=2.283)에 유의한 정(+)의 영향을 미치는 것으로 나타났다. 셋째 대인관계 영향력은 강한 유대(${\beta}$=-.264, C.R.=-1.862)와 네트워크 중심성(${\beta}$=-.394, C.R.=-2.914)에만 유의한 영향을 미치는 것으로 나타났는데 부호의 방향이 (-)인 것으로 나타났다. 마지막으로 외형적 진실성은 사회적 네트워크의 하부요인들에 유의한 영향을 미치지 않는 것으로 나타났다. 연구결과는 사회적 네트워크와 사회적 역량의 관계를 실증 분석했다는 점 외에 중소 벤처기업 기업가들에게 그들의 태생적 한계 극복을 위한 실제적인 정보를 제공했다는 점에서 의의가 있다. 또한 사회적 역량의 구체적 실체인 정치적 기술 개념을 제안하고 실증분석 함으로써, 기업가적 역량 구축에 관심을 둔 향후 연구들의 이론적 토대를 제공했다는 점에 큰 의의가 있다.