• Title/Summary/Keyword: Degree centrality

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Social Network Analysis of the Core Competencies of the Fourth Industrial Revolution on the Newspaper Articles : Focusing on in Engineering Students (신문기사에 나타난 제 4차 산업혁명의 핵심역량에 관한 사회연결망분석: 이공계 대학생을 중심으로)

  • Huh, Ji-suk
    • Journal of Engineering Education Research
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    • v.20 no.5
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    • pp.50-58
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    • 2017
  • The purpose of this study is to explore the core competencies of the Fourth Industrial Revolution in the major newspaper articles of social network analysis and to examine the core competencies required by each field and target. To do this, we reviewed prior research focusing on core competency concepts and core competencies of engineering students, and analyzed 227 articles related to core competencies of the 4th Industrial Revolution, focusing on five major newspapers. Through analysis, we analyzed social network with 118 refined core competency keywords. As a result of the research, it was found that core competencies of the 4th Industrial Revolution are the degree centrality in terms 'creativity', 'problem solving ability', 'convergence ability', 'collaboration ability', 'conductivity', 'software ability', 'human literacy', 'personality' order. Also, as a result of the analysis of the ego centric network by field and target, the required core competencies of university and industry were found to be different. Through these discussions, it is necessary to restructure the core competence of engineering students in order to nurture the engineering talents necessary for the 4th Industrial Revolution.

Network Potential Analysis among Agricultural Villages based on Landscape Resources - Focused on Dangjin, Seosan, and Taean in Chungchungnam-do Region- (경관자원을 중심으로 한 농촌마을들 간의 네트워크 잠재력 분석 - 충청남도 당진군, 서산시, 태안군을 중심으로 -)

  • Lee, Sang-Woo;Chon, Jinhyung;Kim, Sang-Bum;Kim, Eujin Julia
    • Journal of Korean Society of Rural Planning
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    • v.23 no.3
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    • pp.1-12
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    • 2017
  • The purpose of this study is to reveal network potential among agricultural villages focused on landscape and amenity resources. For this study, we conducted Social Network Analysis (SNA) utilizing existing landscape resource database. As a result of the study, major landscape types shared among villages were found for each city. For example, agricultural and residential landscapes were identified as major types for Danjin city. Add to major landscape resources, in Dangjin city, Habduk village were recognized as a core. Seokmun, Daehoji, Woogang, and Sunseong villages were widely found as the sub core group. For Seosan city, Jigok, Palbong, and Kobuk villages were widely recognized as core group. Most of villages which indicated the highest degree centrality were superior in terms of the number of total landscape resources as well as landscape type diversity. These results can be useful for initial planning process when considering major theme for landscape-based network organization. Also, this information will be helpful for planning stage through the specification of the potential role of each village in overall network.

A Study on Author Co-citation of Korean Literature (국내문헌(國內文獻)의 저자동시인용(著者同時引用)에 관한 연구(硏究))

  • Kim, Suk-Young
    • Journal of Information Management
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    • v.19 no.1
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    • pp.73-94
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    • 1988
  • Author co-citation analysis with 20 authors from Korean Nutrition Literature were executed. The purpose of this study is to examine the meaning of bibliographic phenomena in Korean literature by co-citation and to approach the intellectural structure of nutrition field in view of multidimensional space. The analysis assumes that the more two author are cited together, the closer the relationship between them. The raw data are co-citation counts from the Korean Journal of Nutrition over the period 1986~1987. The resulting map shows (1) identifiable author groups of nutrition, (2) locations of these groups with respect to each other, (3) the degree of centrality and peripherality of author within groups, (4) the relationship between domestic authors and foreign authors.

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A Study on the Knowledge Structure of Cancer Survivors based on Social Network Analysis (네트워크 분석을 통한 암 생존자 지식구조 연구)

  • Kwon, Sun Young;Bae, Ka Ryeong
    • Journal of Korean Academy of Nursing
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    • v.46 no.1
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    • pp.50-58
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    • 2016
  • Purpose: The purpose of this study was to identify the knowledge structure of cancer survivors. Methods: For data, 1099 articles were collected, with 365 keywords as a Noun phrase extracted from the articles and standardized for analyzing. Co-occurrence matrix were generated via a cosine similarity measure, and then the network analysis and visualization using PFNet and NodeXL were applied to visualize intellectual interchanges among keywords. Results: According to the result of the content analysis and the cluster analysis of author keywords from cancer survivors articles, keywords such as 'quality of life', 'breast neoplasms', 'cancer survivors', 'neoplasms', 'exercise' had a high degree centrality. The 9 most important research topics concerning cancer survivors were 'cancer-related symptoms and nursing', 'cancer treatment-related issues', 'late effects', 'psychosocial issues', 'healthy living managements', 'social supports', 'palliative cares', 'research methodology', and 'research participants'. Conclusion: Through this study, the knowledge structure of cancer survivors was identified. The 9 topics identified in this study can provide useful research direction for the development of nursing in cancer survivor research areas. The Network analysis used in this study will be useful for identifying the knowledge structure and identifying general views and current cancer survivor research trends.

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.

Self-rated Health and Global Network Position: Results From the Older Adult Population of a Korean Rural Village

  • Youm, Yoosik;Sung, Kiho
    • Annals of Geriatric Medicine and Research
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    • v.20 no.3
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    • pp.149-159
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    • 2016
  • Background: Since the mid-20th century, the ways in which social networks and older adults' health are related have been widely studied. However, few studies investigate the relationship between self-rated health and position in a complete social network of one entire Korean rural village. This study highlights use of a complete network in health studies. Methods: Using the Korean Social Life and Health Project, the population-based data of adults aged 60 or older and their spouses in one myeon in Ganghwa island (Ganghwa-gun, Incheon, Korea), Incheon, Korea (with a 95% response rate), this study built a $1,012{\times}1,012$ complete social network matrix of the village. The data were collected from 2011 to 2012, and 731 older adults were analyzed. The ordered logistic models to predict self-rated health allowed us to examine social factors from socio-demographic to individual community activities, ego-centered network characteristics, and positions in a complete network. Results: From the network data, 5 network components were identified. Even after controlling for all other factors, if a respondent belonged to a segregated component, the probability that he or she reported good health dropped substantially. Additionally, high in-degree centrality was connected to greater self-rated health. Conclusion: This finding highlights the importance of social position not only from the respondents' point of view but also from the entire village's perspective. Even if a respondent maintained a large social network, when all of those social ties belonged to a segregated group in the village, the respondent's health suffered from this segregation.

Application of graph theory for analyzing the relational location features of cave as tourists attraction (II): focused on the analysis of network status (동굴관광지의 관계적 입지특성 분석을 위한 그래프이론의 적용(II): 네트워크의 지위분석 기법의 적용을 중심으로)

  • Hong, Hyun-Cheol
    • Journal of the Speleological Society of Korea
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    • no.88
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    • pp.38-44
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    • 2008
  • This study aims to identify the efficiency by applying diverse index to the positions of vertex in the network among the network analysis methods in order to identify the relational location features of caves. The first consideration was about the relational location features according to the linking degree and centrality of cave. The second consideration was about the structural equivalence between caves or between caves and the surrounding tourists attractions. A variety of index examined in this study is very efficient for identifying the positions of caves in the network. Furthermore, the relational location features in consideration of surrounding tourists attractions identified the availability of more objective and quantitative expression. In particular, when there are other caves around a cave, it is also very useful to identify the structural equivalence or comparison with other caves.

Research on the Characteristics of Chinese Tourists Flow to Thailand: Application of the Social Network Analysis (SNA) Method

  • WANG, Xiao-Chuan;WANG, Chun-Yan;KIM, Hyung-Ho
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.11
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    • pp.243-251
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    • 2021
  • The goal of this study is to examine the characteristics of Chinese visitors visiting Thailand, determine the rules, and give a reference for Thai tourism authorities and businesses when developing marketing strategies for the Chinese market. This paper constructs the tourism flow network and takes Bangkok as the major research target. The statistical characteristics of the network are studied using the SNA method, based on the trip notes of Thailand on www.mafengwo.cn, a prominent travel website in China as the data source. The results show that: Shanghai, Beijing, and Tianjin occupy important positions in the network; The flow direction of Chinese tourists to Thailand mainly tends to Bangkok, Chiang Mai, Pattaya, and Phuket Island; Grand Palace have strong tourism flow aggregation, diffusion, and control over other nodes in the whole network structure; Tom Yu Kuang has the greatest degree centrality in all Thai cuisine. The findings of the study can help relevant management departments create tourist policies and modify market strategies by developing the regular characteristics of China's tourism flow to Thailand in the theoretical field.

The Strategy of Wireless Power Transfer for Light Rail Transit By Core Technologies Analysis Based on Text Mining

  • Meng, Xiang-Yu;Han, Young-Jae;Eum, Soo-Min;Cho, Sung-Won
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.11
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    • pp.193-201
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    • 2018
  • In this paper, we extracted relevant patent data and conducted statistical analysis to understand the technical development trend related to Wireless Power Transfer (WPT) for Light Rail Transit (LRT). Recently, with the development of WPT technologies, the Light Rail Transit (LRT) industry is concentrating on applying WPT to the power supply system of trains because of their advantages compared wired counterpart, such as low maintenance cost and high stability. This technology is divided into three areas: wireless feeding and collecting technology, high-frequency power converter technology and orbital and infrastructure technology. From each specific area, key words in patent document were extracted by TF-IDF method and analyzed by social network. In the keyword network, core word of each specific technology were extracted according to their degree centrality. Then, the multi-word phrases were also built to represent the concept of core technologies. Finally, based on the analysis results, the development strategies for each specifics technical area of WPT in LRT filed will be provided.

A Social Network Analysis on the Common Initiative for the Electronic Government Law: Focusing on the Ruling Party and Seniority Effect

  • Lee, Hun-Hee;Han, Sang-Ik
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.6
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    • pp.125-133
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    • 2019
  • This study aimed to investigate the political system related to the Electronic Government Law by analyzing the process of the common initiative of the law. To achieve the goal, this study applied the method of social analysis and sugessted the proper role of the assembly for realizing the electronic government and its control. The data were gathered from the bill information service of the national assembly. Netminer 4.0 was used for refining and analyzing data. The results are as follows. First, by analyzing three centrality(degree, betweenness, and eigenvector) of assembly member, the network effect of the powered party and reelected members were revealed as strong in the network. Second, through the component analysis, 5 sub-network has shown in total. The sub-networks showed two distinctive difference between two big parties. By the difference, members in two parties showed different characteristics in constituting communities and the effect of the powered party revealed as strong and clear. Based on the result, this study demonstrated the necessity of social solidarity rather than solipsism in committing common initiative. And a chronological research is need to anlayze $18^{th}$ and $19^{th}$ assembly to verify the effect of the powered party in prospect study.