• Journal of the Korea Convergence Society
• /
• v.8 no.9
• /
• pp.199-209
• /
• 2017

This study was carried out to confirm a convergent research pattern and researchers' role in stem cell sector by social network analysis. Articles were extracted from 1996 to 2012 in PubMed, 515 authors of 270 embryonic stem cell and induced pluripotent stem cell articles and 1,515 authors of 580 adult stem cell and mesenchymal stem cell articles. Degree(D) and betweenness(B) centrality was measured and co-author network was generated for researcher's role. As a result, Core researcher and Intermediary researcher was identified in co-author network. Core researcher had high D. centrality, otherwise high B. centrality or not. Intermediary researcher for convergent research had high B. centrality and low D. centrality. Conclusively, co-author network will be used as objective data not only to find core researchers in subject area for improving achievement but also to select experts for research project evaluation.

• Journal of Korean Library and Information Science Society
• /
• v.44 no.3
• /
• pp.405-428
• /
• 2013

This study tried to explore the relation between research networks(coauthor network, author co-citation network, author bibliographic coupling network) and research performance of Records and Archives Management study in Korea. For the analysis, three basic types of network centrality and three indicators of research performance are used. The summary of this study is as follows: Firstly, there are relations between three centralities and three indicators of research performance in the coauthor network. Secondly, there are relations between betweenness centrality and research performance in the author co-citation/author bibliographic coupling networks. Thirdly, there are relations between three centralities in the each research network. Fourthly, there are not high relations between all centralities of the three research networks.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.22 no.2
• /
• pp.295-301
• /
• 2018

In various disciplines, researchers, not single researchers, tend to cooperate to study the same topic. There are many studies to analyze the collaborative form of various researchers through the social network analysis method, but there are few such studies in the computer field. In this paper, we analyze the characteristics of network and various groups of researchers through the social network analysis technique of the co-authors of the Journal of Korea Institute of Information and Communication Engineering, and analyze the degree centrality, the between centrality and edge weight. As a result of the analysis, many groups were extracted from the co-author's network, but the top 20 groups accounted for more than 50% of the total, also, we could find a pair of researchers who do joint research with a very high frequency. These Co-author networks are expected to be the basis for in-depth research on the subject and direction of research through future researches.

• Journal of Internet Computing and Services
• /
• v.17 no.1
• /
• pp.65-71
• /
• 2016

In this paper, we propose a novel analysis method and its algorithms to perform the betweenness centrality measurements on a valued and directed workflow-supported social network. The conventional workflow-supported social network model is to represent the existences of task transferring relationships among their performers by using a binary social network. However, it is necessary to consider not only the existences of task transferring relationships but also their quantities and directions in order to obtain much more effective and sophisticated analysis results. In conclusion, this paper newly defines a concept of valued and directed workflow-supported social network, and its betweenness centrality analysis method and algorithms. Especially, to verify the proposed method and algorithms, we try to apply the conventional method and the proposed method to an example workflow model respectively, and compare their betweenness centrality analysis results.

• Journal of Digital Convergence
• /
• v.17 no.9
• /
• pp.61-70
• /
• 2019

This study was intended to analyze the effect of port decentralization on port management and port development, analyze whether port site centrality has mediated effect in relation between port decentralization and port management and port development. This study surveyed public officials and researchers who plan and execute port policies, and analyzed the influence relationship of variables and the mediating effect using multiple regression analysis. Results are as follows, First, it was analyzed that the port authority decentralization and regional-centered port policy have a positive influence on the port site centrality, and the port authority decentralization has a positive influence on port management and port development. Second, the port site centrality was confirmed to have a positive influence on port management and port development. Third, port site centrality was shown to mediate the relationship between port decentralization and port management and port development. This study suggested the positive effect of port decentralization to local government on efficient port management and port development, and the need to draw up port site-oriented policies.

• Journal of the Korean Society for information Management
• /
• v.31 no.2
• /
• pp.121-142
• /
• 2014

This study aims to investigate the importance of author keyword with analysis the position of author keyword in journal. In the first stage, an analysis was carried out on the position of author keyword. We examined the importance of author keyword by using degree centrality, closeness centrality, betweenness centrality, eigenvector centrality and effective size of structural hole. In the next stage, We performed analysis on correlation between network centrality measures and the position of author keyword. The result of correlation analysis on network centrality measures and the position of author keyword shows that there are the more significant areas of the result of the correlation analysis on degree centrality, betweenness centrality and the position of keyword. In addition, These results show that we need to consider that the possible way as measuring the importance of author keyword in journal is not only a term frequency but also degree centrality and betweenness centrality.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06d
• /
• pp.269-272
• /
• 2011

현재의 호스트 기반의 인터넷 구조는 확장성, 보안성, 네트워크 유연성에 제약을 갖고 있다. 이를 극복하기 위하여 미국, 유럽 중심으로 미래 인터넷 연구가 활발히 진행 중이며, 그 중에서도 컨텐츠 중심 네트워크에 대한 연구는 미래 인터넷 서비스 단계에서 주목을 받고 있다. 컨텐츠 중심 네트워크는 컨텐츠를 기반으로 통신을 하며, 컨텐츠 배포가 이루어지기 때문에 컨텐츠 이름과 이름 분석이 중요한 요소로 부각되고 있다. 본 논문에서는 CCN, DONA, PSIRP, Netlnf 네 가지 종류의 컨텐츠 중심 네트워크의 이름 구조와 이름 분석을 비교하고, 이를 통해 비디오 서비스에 적합한 구조와 확장성에 대해 조사 하였다.

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

• Journal of Korean Library and Information Science Society
• /
• v.47 no.3
• /
• pp.95-114
• /
• 2016

The purpose of this preliminary study is to collect specific examples of book reports and understand semantic characteristics of them through semantic network. The analysis was conducted with 23 book reports which classified by three groups. The keywords were selected from the of book reports. Five types of keyword network were composed based on co-occurrence relations with keywords. The result of this study is following these. First, each keyword network of book reports of groups and individuals is shown to have different structural characteristics. Second, each network has different high centrality keywords according to the result analysis of 3 types of centrality(degree centrality, closeness centrality, betweenness centrality). These characteristic means that keyword network analysis is useful in recognizing the characteristics of not only groups' and but also individual's book reports.

• The Journal of the Korea Contents Association
• /
• v.12 no.12
• /
• pp.661-671
• /
• 2012

The purpose of this study was to analyze the core policies of local government directors by performing centrality analysis on their core policies using network text analysis method. From the research results, it was verified to some extent that major policies of local government directors were changing during the path to arrive at 5th civil election. However, according to policy type by Peterson (development policy, allocation policy and redistribution policy) it was found that they still focused on development policies. However, it is encouraging that the government directors elected in the 5th election started to pay attention to 'Culture' which is one of allocation policies.