• Korean journal of communication and information
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• v.60
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• pp.75-103
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• 2012

The purpose of this study is to explore the meaning and the effect of communication as social capital, which needs to be evaluated empirically focusing on corporate reputation. Also, it tried to analyze consumers' communication network in the structural, substantial, and relational level, which is to verify how characteristics and meanings of communication network structure affect to a good corporate reputation. A survey toward 200 participants was conducted during 5 days from March 29 to April 3, 2012. Characteristics of communication network structure of a corporation with higher reputation is analyzed using the index such as degree, degree centrality, and density. The findings of the study show that a corporation with higher reputation has higher network degree, degree centrality, and density compared to a corporation with lower reputation. Consumers of a corporation with higher reputation get information from various overlapping sources. It allows them to share similar interpretation, which could elevate the degree, degree centrality, and density of network. It also proved that when the network density is high, a corporation with higher reputation can distribute information much faster and easier. Moreover, in the substantial level of social capital, product/service information network has high degree and density rather than corporate issue information network. Likewise, degree and density of information acquisition network was higher than those of information provision network. Also, this study verified the effect and relationship between the network structure characteristics and corporate loyalty in a relational level. In this way, the positive effect of the degree centrality on corporate loyalty was supported. In conclusion, as consumers share more information from overlapping sources, the degree of communication network gets higher. Throughout this network, the diffusion of information among consumers would be activated, and this confirmed that corporate reputation and corporate loyalty is closely related.

• Journal of vocational education research
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• v.35 no.6
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• pp.85-112
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• 2016

This study aims to identify the cooperative relations among researchers and their network structures based on the academic papers published in the field of lifelong vocational education and training from 2000 to 2015. Authors in three representative journals, 'Journal of Lifelong Education', 'Journal of Vocational Education Research', and 'Korea Research Institute for Vocational Education & Training,' during the periods, were selected and co-authorship network analysis was applied using NetMiner 4.0 in order to find the social relation among researchers and their academic influences. The results showed that the research productivity in the field of lifelong vocational education and training forms a shape of the power function where there exist components called, 'detailed research groups.' This network structure represents characteristics of a small world. In addition, the centrality analysis suggest authors with high centrality serve as co-authors who play as a central role on the network and exchange information with other researchers, while those with high betweenness centrality serve as a channel where they transfer knowledge and information among research groups. Increasing member of co-authorship has positively contributed to the opportunity and development of cooperative research among researchers in the field of lifelong vocational education and training. However it is recommended co-authorship be formed more heterogeneously instead of a few researches centrally dominate co-authorship. Various researchers should continually conduct research for good research performances.

• Journal of the Korea Convergence Society
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• v.8 no.5
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• pp.169-178
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• 2017

In various research fields, it is important to identify the trends and meaningful patterns in large volumes of text data. We examined the research trends and patterns in global journal articles related to aviation and airlines from 1997 to 2016 using keyword network analysis. Keyword network models were constructed, and centrality (degree and betweenness) analysis was performed using 25,959 articles from the Scopus database. The results suggested that the recent research trends in aviation and airlines could be quantitatively described through keyword network analysis. The engineering and social science fields were the most relevant fields with keywords related to aviation and airlines. In addition, it was shown that betweenness centrality increased with the degree centrality of keywords. The results of this study could be applied to establish policies and suggest further research topics in the field of aviation and airlines based on empirical data.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.189-201
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• 2023

The purpose of this study is to analyze the ICT startup investment status in Korea and examine the relationship between startups and venture capitals by network analysis. In this study, the Gephi was used to analyze network attribute values and to compare the results of each centrality. As a result of the analysis, IMM investment, Altos Ventures, and Smilegate Investment were located in the top ranks in each centrality. It can present that venture capital companies ranked high in betweenness centrality, closeness centrality, eigenvector centrality have continuously invested in growing startups into unicorns from 2014 to 2019. These results can be used as data for startups want to receive funding from venture capital in the future in consider to the relation of startup and invest industry. This study provides information to develop strategies for the sustainable venture investment environment in Korea of stakeholders such as startups, venture capital, consumers, and the government; as a result, it can help various follow-up studies in the field of startups and venture capital.

• The Korean Journal of Applied Statistics
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• v.26 no.4
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• pp.661-674
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• 2013

We investigate the class registration behavior of college students with data collected from the spring semester of 2012. The network originally consists of a 2-mode network between a student and class subjects. We first transform the 2-mode network into 1-mode network of students. We also subdivide it into a smaller network such as components and communities to understand the detailed behavior of students in class registration. Finally, the relationship between GPA and the centrality measures, gender, and grade of students is analyzed using a multiple regression analysis.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.6
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• pp.34-42
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• 2014

This study is a fundamental research to determine the emergency evacuation roads considering road network function and connectivity. First of all, the functional aspects of the road networks are analyzed in the target area, Sejong city, by using degree centrality(DC) and closeness centrality(CC) from GIS based database. Secondly, how network connectivity makes a change in user's travel pattern and travel time and how it affects the whole network are analyzed using TransCAD simulation program. Finally, after performing cluster analysis of index, first and second emergency evacuation roads are determined by judging the characteristics of clusters. The results of this research will be helpful for making a decision to diminish secondary damages when confronting unexpected disasters.

• Communications of Mathematical Education
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• v.29 no.3
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• pp.465-489
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• 2015

The purpose of this study is to suggest implications for the development and revision of future teaching materials for mathematically gifted students by using network text analysis of secondary mathematics materials. Subjects of the analysis were learning goals of 110 teaching materials in a gifted education center in science attached to a university from 2002 to 2014. In analysing the frequency of the texts that appeared in the learning goals, key words were selected. A co-occurrence matrix of the key words was established, and a basic information of network, centrality, centralization, component, and k-core were deducted. For the analysis, KrKwic, KrTitle, and NetMiner4.0 programs were used, respectively. The results of this study were as follows. First, there was a pivot of the network formed with core hubs including 'diversity', 'understanding' 'concept' 'method', 'application', 'connection' 'problem solving', 'basic', 'real life', and 'thinking ability' in the whole network from 2002 to 2014. In addition, knowledge aspects were well reflected in teaching materials based on the centralization analysis. Second, network text analysis based on the three periods of the Mater Plan for the promotion of gifted education was conducted. As a result, a network was built up with 'understanding', and there were strong ties among 'question', 'answer', and 'problem solving' regardless of the periods. On the contrary, the centrality analysis showed that 'communication', 'discovery', and 'proof' only appeared in the first, second, and third period of Master Plan, respectively. Therefore, the results of this study suggest that affective aspects and activities with high cognitive process should be accompanied, and learning goals' mannerism and ahistoricism be prevented in developing and revising teaching materials.

• Journal of Food Hygiene and Safety
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• v.33 no.1
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• pp.23-30
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• 2018

The purpose of this research was to introduce network analysis method for analyzing pesticide residues in incongruity commercial agricultural commodities. Based on the "results in pesticide residues on incongruity commercial agricultural commodities" on "Guidelines for food safety management 2017", we used centrality analysis for pesticide residues via degree, closeness and betweenness centrality measurement. In case of degree centrality result, chlorpyrifos and diazinon were the most highly "connected node" in pesticide network. For the closeness centrality result, the most pesticides showed the similar closeness trend except for 19 species of pesticides. Fludioxonil and chlorpyrifos are recognized as the "bridge" of pesticides network with their high betweenness centrality. The results of network analysis show the "relation" data, which could not represent through out the conventional statistical analysis, among the pesticide residues. We hope that the network analysis method will be appropriate and precise tool for analyzing pesticide residues via elaboration and optimization.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.29 no.1
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• pp.48-56
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• 2000

한국지역난방공사는 '87년 여의도에 최초 연공급을 시작한 이래 수도권 신도시 및 서울 강남 지역을 중심으로 지역난방 열공급을 지속적으로 확대하여 왔다. 안정적이고 경제적인 역공급을 위하여 분당, 고양 및 중앙의 CHP를 중심으로 연계배관망을 구성하였으며 '98년 기준 수도권 연계 공급량이 총 공급량의 61%를 차지하게 되었다. 또한 장기적으로 본 공사는 열공급의 신뢰성 및 경제성 향상을 위하여 급열센타 설치를 비롯하여 종합적인 네트워크를 구성하여 운영할 계획이며 분당과 고양의 CHP를 기저부하로 삼아 피크수요를 감당할 소규모 분산형 열원을 설치하여 수도권 열공급을 확대하여 전 수도권을 지역난방 배관으로 네트워크화할 계획을 가지고 있다. 따라서, 구체적인 세부계획을 수립하기 위하여는 수도권 네트워크 사업의 장기적인 경제성 분석이 필수적이며 이러한 분석은 기존의 열원 및 열배관시설은 물론 향후 건설될 열원 및 배관, 수요개발전망 등 제반요소를 고려하여 종합적으로 이루어져야 하다. 본 연구는 이에 앞서 분당과 일산CHP를 독립된 수용범위를 갖는 열원으로 간주하여 각각의 CHP를 중심으로 열공급량의 증가에 따라 피크용 열원인 HOB 건설을 증가시킬때의 경제성을 그 대상으로 하여 기본적인 모델을 제시하고 대략적인 추세를 파악하고자 하였다. 데이터는 본 공사 고양지사와 분당지사의 '98 운영실적으로 기준으로 하였으며, 수도권 전체 네트워크를 대상으로 하는 실제 경제성 분석은 다음 과제로 계속 추진될 것이다.

• Proceedings of the Korean Society for Information Management Conference
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• 2016.08a
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• pp.23-27
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• 2016

최근 학제간 연구에 대한 관심이 커지면서 자연스럽게 연구자들 간의 협력관계, 특히 학술적 협력관계에 대한 관심 역시 증가하고 있다. 이에 따라 공저 네트워크 자체의 속성에 대한 연구 뿐만 아니라 공저 분석 기법을 통해 특정 학문 분야의 지적 구조를 해석하려는 연구들이 꾸준히 진행되고 있다. 본 연구는 공저 네트워크 분석을 통해 국외 학제적 저널의 공저 현황과 소속기관 유형을 살펴보고 매개 중심성과 연결정도 중심성을 통해 학술지별 주요 소속기관과 저자들의 위치, 그리고 그들간의 협력 관계를 살펴보고자 하였다.