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

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.10a
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• pp.164-166
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• 2014

주5일제 시행과 여가 활동으로서 여행에 대한 관심이 높아짐에 따라서 연안여객의 활용도는 높아질 것으로 예상된다. 하지만, 국내 연안여객 이용의 실태는 항로 부족, 항구의 노후화 등 개선해야할 과제가 많이 있다. 이러한 상황에서 연안여객의 대중교통화의 필요성이 제기되었다. 본 논문은 현재 연안여객의 항로 네트워크를 분석하여 대중교통화로 나아갈 수 있는 현재의 실태를 확인했다. 사용된 네트워크 분석지수는 지역중심성(degree centrality), 연결중심성(betweenness centrality)이다. 두 가지 지수에 따라 대중교통화에 기여하고 있는 항구의 순위를 확인했다. 분석결과가 연안여객의 대중교통화에 조금이나마 기여할 수 있기를 기대한다.

• Journal of Korean Library and Information Science Society
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• v.44 no.4
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• pp.443-463
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• 2013

Korea Institute of Science and Technology Information(KISTI) provides domestic researchers with science and technology information through NDSL Information Document Service(NIDS) network to improve research productivity in Korea. University libraries and information centers of research institutes are playing a major role in the NIDS collaboration network. In this study, we examined the relationship among the participating organizations for document delivery service using the social network analysis(SNA) method. Centrality of each organization in the NIDS network was analyzed with the indexes such as degree centrality, closeness centrality, betweenness centrality, and eigenvector centrality. The research results show that KISTI, KAIST, POSTECH, and FRIC are located at the center of the NIDS network. Based on the research results, this paper suggests several directions for improvement of document delivery service.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.9-14
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• 2018

This study aims to investigate an importance of Author keyword with analysis the position of author keyword. An analysis was carried out on the position of author keyword. we examined an importance of Author keyword by using degree centrality, closeness centrality, betweenness centrality, eigenvector centrality. In the next stage, we performed analysis on correlation between network centrality measures and the position of keyword. As a result, degree centrality, closeness centrality, betweenness centrality, eigenvector centrality both has a high value in 4th author keyword order. eigenvector centrality was the comparatively effective method to separate of author keyword order method than other 3 centrality. Correlation analysis result shows that the network analysis value are increasing in order. This study has significance in that it was able to examine the author keyword behavior. Future research is needed to identify and supplement future situational factors, behavior, and psychology.

• Knowledge Management Research
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• v.22 no.1
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• pp.217-242
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• 2021

The purpose of this study is to examine the research trends in the filed of individual knowledge hiding through keyword network analysis. As individuals intentionally hide their knowledge beyond not sharing their knowledge in organizations and the research on knowledge hiding steadily spreads, it is necessary to examine the research trends regarding knowledge hiding behaviors. For keyword network analyses, we collected 346 kinds of 578 keywords from 120 articles associated with knowledge hiding behaviors. We also transformed the keywords to 86 nodes and 667 links by data standardizing criteria and finally analyzed the keyword network among them. Moreover, this study scrutinized knowledge hiding trends by comparing the conceptual model for knowledge hiding based on literature review and the network structure based on keyword network analysis. As results, first, the network centrality degree, knowledge sharing, creativity, and performance was higher than others in Degree, Betweenness, Closeness centrality. Second, this study analyzed ego networks about psychological ownership and individual emotion theoretically associated with knowledge hiding and explored the relationship between variables through comparing with the conceptual model for knowledge hiding. Finally, the study suggested theoretical and practical implications and provided the limitations and suggestions for future research based on study findings.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.301-308
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• 2016

Writing high-quality papers and publishing them at prestigious academic journals would be something that every scholar strives for. This study made a network with nine academic journals in South Korea in the field of public administration and public policy and analyzed the influence of academic journals through social network analysis. Using centrality measures, such as degree centrality, beta centrality, and eigenvector centrality, this study found that Korean Public Administration Review has the highest influence on the journal network, followed by Korean Public Studies Review. However, different choice of centrality measure led to different ranking of journals in terms of their influence.

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

• Korean Journal of School Psychology
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• v.18 no.2
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• pp.175-195
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• 2021

Intimate friendships and a sense of belonging have positive effects on adolescent's psychological adaptation. Belongingness orientation is the motivation to belong. It is divided into growth orientation and deficit-reduction orientation, both of which have different effects on psychological adaptation and interpersonal characteristics. This study was conducted to determine how adolescents' belongingness orientation affected their psychological adaptation and friend networks. Students in their second year of middle school were surveyed both at the beginning and end of the spring semester. Friend networks were measured through network centrality analysis. Multilevel regression analysis produced three major results. The first major result was that the correlations between growth orientation and loneliness and between growth orientation and stress at the beginning of the spring semester was statistically significant even when friend network centrality was included in the analysis model, but the correlation between deficit-reduction orientation and loneliness and between deficit-reduction orientation and stress were not statistically significant. The second major result was that growth orientation significantly predicted friend network centrality at the end of the spring semester. This effect was significant even when friend network centrality at the beginning of the semester and psychological adaptation level at the end of the spring semester were added to the analysis model. The third major result was that the correlation between friend network centrality at the end of the semester and psychological adaptation level was statistically significant even when psychological adaptation levels at the beginning and the end of the semester were included in the analysis model. This study is meaningful in that it had a short-term longitudinal design and empirically demonstrated the relationship between belongingness orientation and psychological adaptation level of adolescents and between belongingness orientation and the development of friend networks. Lastly, we discussed limitations of this study and provided suggestions for future research.

• Proceedings of the Korean Society for Information Management Conference
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• 2013.08a
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• pp.19-22
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• 2013

네트워크 분석이 확산되면서 여러 분야에서 다양한 중심성 척도가 개발되어 활용되고 있으나 가중 네트워크에서 지역중심성을 측정할 수 있는 척도로는 최근접이웃중심성 이외에는 거의 알려져 있지 않다. 최근접이웃중심성 척도는 동률값이 흔히 나타나므로 변별력이 낮다는 단점을 가지고 있다. 이 연구에서는 최근접이웃중심성 척도를 일반화한 이웃중심성 척도를 제안하고 가상 자료 및 실제 자료에 대해 적용하여 검증해보았다.

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