• Journal of Korea Technology Innovation Society
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• v.17 no.1
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• pp.242-263
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• 2014

Establishment of efficient cooperative ecosystem of research institutes is important for the efficiency of national innovation system, especially in the era of technology convergence. Performance of institutes inside the ecosystem is dependent on the position of the institutes in the system. This study investigates the relationship between network structure and research performance, and determines significant factors on the research performance. The results of 5 year panel data analysis of SCI journal papers of Korean government research institutes indicate that four network centralities -degree, betweenness, closeness, and eigenvector- and structural holes have significant effect on the research performance of the institutes. Among the four centralities, closeness and eigenvectors are more significant than others. Implications of the results of this study for policy of establishing efficient cooperative system are that increasing the cooperative activities of less active institutes is more effective for research performance than increasing the magnitude of cooperative activities of all institutes. Also, when an institute starts a new cooperative relationship, it is better to have relationship with an active institute first.

• 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.

• Smart Media Journal
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• v.13 no.2
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• pp.108-121
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• 2024

In the IT industry, the complexity and volatility of corporate networks are gradually evolving, and concurrently, the significance of corporate networks is increasing. Previous research has employed network analysis to scrutinize inter-corporate trade relationships for strategic and policy making. However, previous studies focused on the overall network structure from a macroscopic perspective, presenting limitations in applicability at the individual IT corporation level. This study develops a novel research model incorporating sector and region-level network analysis based on connection strength, along with the derivation of a composite node centrality indicator. Using this methodology, we analyzed corporate networks across nine metropolitan areas using IT corporate transaction data. The results means that cities with a manufacturing base, such as Incheon, Busan, and Daegu, have recently established cooperative networks with IT companies. We also found that in the IT industry in Gwangju and Daejeon, certain companies dominate the transaction network.

• 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.

• Journal of the Korean Society for information Management
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• v.33 no.2
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• pp.61-76
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• 2016

This study aims at proposing three prestige indices-closeness prestige, input domain, and proximity prestige- as useful measures for the impact of a particular node in citation networks. It compares these prestige indices with other impact indices as it is still unknown what dimensions of impact these indices actually measure. The prestige indices enable us to distinguish the most prominent actors in a directed network, similar to the centrality indices in undirected networks. Correlation analysis and principal component analysis were conducted on the author citation network to identify the differentiated implications of the three prestige indices from the existing impact indices. We selected simple citation counting, h-index, PageRank, and the three kinds of centrality indices which assume undirected networks as the existing impact measures for comparison with the three prestige indices. The results indicate that these prestige indices demonstrate distinct impact dimension from the other impact indices. The prestige indices reflect indirect impact while the others direct impact.

• Journal of Korean Library and Information Science Society
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• v.47 no.4
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• pp.1-18
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• 2016

The purpose of this study is to explore application of topic modeling for topic analysis of book report. Topic modeling can be understood as one method of topic analysis. This analysis was conducted with texts in 23 book reports using LDA function of the "topicmodels" package provided by R. According to the result of topic modeling, 16 topics were extracted. The topic network was constructed by the relation between the topics and keywords, and the book report network was constructed by the relation between book report cases and topics. Next, Centrality analysis was conducted targeting the topic network and book report network. The result of this study is following these. First, 16 topics are shown as network which has one component. In other words, 16 topics are interrelated. Second, book report was divided into 2 groups, book reports with high centrality and book reports with low centrality. The former group has similarities with others, the latter group has differences with others in aspect of the topics of book reports. The result of topic modeling is useful to identify book reports' topics combining with network analysis.

• 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.

• Information and Communications Magazine
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• v.29 no.9
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• pp.63-69
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• 2012

최근 인터넷을 통한 동영상 서비스 비중이 크게 증가하고 스마트폰과 같은 이동 단말의 빠른 보급으로 인해, 인터넷 트래픽이 폭발적으로 증가하고 인터넷 접속 환경 역시 이동 중심으로 변화하고 있다. 현재의 인터넷은 이러한 변화 추세를 수용하기 위해 근본적인 문제가 제기 되고 있어, 새로운 혁신적 접근 방식의 콘텐츠 중심 네트워크 기술이 주목 받고 있다. 본고에서는 콘텐츠 중심 네트워크의 효율적인 데이터 전송 기법을 소개하고, 특히 이동성에 관한 이슈 및 연구 동향에 대해 살펴본다.

• International Commerce and Information Review
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• v.19 no.3
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• pp.3-23
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• 2017

With the globalization of the world economy, international trade networks are expanding beyond geographical proximity, and the expansion of such trade networks is playing a role in promoting globalization. Korea has established itself as a strong FTA for the past 13 years, starting with the Korea-Chile FTA. Successful establishment of a short-term FTA network has shown positive economic effects such as increased trade volume with partner countries and market share in overseas markets. Other countries are also turning to the paradigm of economic development through the formation of a regional economic integration and a bilateral trade agreement network, and it is time to investigate new opportunities through understanding the entire RTA and FTA network. In this study, we analyzed the status of RTA and FTA from the 1960s to 2010s, analyzed network structure and centrality through SNA(social network analysis). The results of the study show that the structure of the FTA network is gradually expanding, and the FTA network, which has been expanding to the center of the early European countries, is changing toward the Asian countries such as Korea, China and Japan. As a result of the analysis of the degree of centrality, Korea was ranked as the top in all the degree of centrality(Degree, Betweenness, Closeness and Eigenvector) indicators for a short period of time and it means that Korea's FTA strategy was evaluated as very successful. This study examines the FTA among the global RTAs, assesses the structure of the FTAs and evaluates Korea's FTA strategies and the FTA network from a network perspective.

• Journal of the Korean Data and Information Science Society
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• v.26 no.2
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• pp.335-346
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• 2015

The purpose of this study is to compare not only network influence of individual coauthor but also the types and properties of two coauthor networks of Communications for Statistical Applications and Methods and the Korean Journal of Applied Statistics which are published by the Korean Statistical Society using social network analysis.As the result of two network structure comparison, density, inclusiveness, reciprocity and clustering coefficient which represent the type of coauthor networks show almost similar values and the Korean Journal of Applied Statistics has bigger values in average degree, average distance and diameter because it has more nodes than Communications for Statistical Applications and Methods. Finally two journals have very similar type of coauthor network. In the comparison of network centrality of two coauthor networks, closeness centrality and betweenness centrality of the Korean Journal of Applied Statistics are bigger than those of Communications for Statistical Applications and Methods at the statistical significance level 0.05. The coauthor network of the Korean Journal of Applied Statistics has faster information delivery and stronger betweenness than that of Communications for Statistical Applications.