• Annual Conference on Human and Language Technology
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• 2006.10e
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• pp.89-97
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• 2006

과학기술 문헌에 대한, 정확한 인용 정의의 제공을 위해서는 인용 관계를 구성하는 인력에 대한 동명이인 문제가 우선적으로 해소되어야 한다. 본 논문에서는 정확한 저자 중심의 인용 관계 및 네트워크를 구축하기 위해 URI(Universal Resource Identifier)를 이용하는 방법을 제안한다. 본 연구의 특징은, 지속적으로 추가되고 갱신되는 인용 정보를 일관성 있게 유지하고 정확한 문헌으로의 접근성을 보장하기 위해, 시맨틱웹 기술의 하나인 URI를 문헌과 저자에 적용하여 저자 중심 인용 관계 및 네트워크를 구축한다는 것이다. 실험에서는, 국내 학술대회 발표 논문들로부터 2,872개의 저자 중심 인용 관계 쌍을 추출하였고, 이를 바탕으로 구축한 저자 인용 네트워크에서는 135개의 인용 네트워크 그룹을 발견할 수 있었다. 본 연구의 결과는 향후 국가과학기술인력 종합정보시스템에서 제공하는 인력 DB 및 과학기술정보 포털서비스인 YesKiSTi와의 연계를 통하여 새로운 개념의 다양한 연구자 네트워크 서비스를 제공할 수 있을 것으로 기대된다.

• Journal of KIISE:Software and Applications
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• v.34 no.2
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• pp.150-159
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• 2007

For the construction of accurate scientific citation information, author disambiguation should be primarily resolved. This study proposes a method that utilizes URI(Uniform Resource Identifier) to create precise author citation networks. The adoption of URIs for representing authors and papers in this study enables us to maintain the integrity of constantly changing citation information and to guarantee the accessibility to the right literature. In experiments, we extracted 2,872 author-centric citation relation pairs from recent major IT-related proceedings written in Korean. From those, 135 citation network groups were discovered. The findings of this study are expected to be applied to a variety of researcher network services and scientific information portal services.

• 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.

• 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.

• Proceedings of the Korean DIstribution Association Conference
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• 2007.11a
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• pp.109-129
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• 2007

• Journal of the Korean Society for information Management
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• v.33 no.4
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• pp.175-199
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• 2016

We analyzed the relationships between the co-authorship network centralities and the research performance indicators with the authors and the number of citations of the papers published for 10 years in Korean library and information science journals. In particular, the research performance indicators were calculated with normal counting and with fractional counting also. As a result of correlation analysis between the variables by setting the different ranges of the author groups to be analyzed according to the number of articles, it was possible to explain the inconsistent results of the previous studies on the correlations between the researchers' citation indicators and their co-authorship network centralities. Overall, the degree of co-authorship activities measured by collaboration coefficient showed no or negatively correlated with research performance. There were statistically significant positive correlations between the centralities and the research performance indicators, but the correlation was not significant in the analysis of the top 30 authors by number of articles.

• 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.

• 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.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.54-56
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• 2012

최근 다양한 관점에서의 사회관계망 분석이 확대되면서 R&D분야도 연구자 간의 네트워크를 이해하고자 하는 요구사항도 증가하고 있지만 국내에서는 연구자나 과학자 사이의 네트워크 분석 및 서비스에 대한 시도가 다양하지 않은 상황이다. 본 논문은 국내 R&D분야의 사회관계망에 대한 이해증진을 위하여 구현한 공저자 네트워크 가시화 서비스에 대한 기술이다. 사회 관계망 분석과 서비스를 위하여 동명이인 저자를 식별하고 이들 간의 공저자 관계를 계량정보 분석기법을 이용하여 분석하였으며 연구자들 간의 네트워크를 쉽게 조망할 수 있도록 정보를 가시화 하였다. 본 논문에서 구현한 공저자 네트워크 서비스는 국내 연구자들 간의 협업형태를 직관적으로 이해할 수 있도록 하며 각 연구 분야의 핵심연구자 및 다양한 연구 분야를 연계하는 허브 연구자의 확인을 용이하게 한다.

• Journal of Information Management
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• v.42 no.4
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• pp.75-94
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• 2011

The purpose of this study is to analyze the domain on the field of Electrical Engineering in Korea by the author bibliographic coupling analysis. The data set contains a total of 2,157 articles from two core journals with 23,411 citation data from 2005 to 2009 published in two prestigious journals. In order to achieve the purpose of this study, MDS analysis, clustering analysis and network analysis were used to examine core subject areas. In addition, the centrality analysis in the weighted networks was used to explore the key authors in this field such as the top global centrality authors and the top local centrality authors. The findings of this study can be utilized to guide the current research trend and author network for collection development and information services in the field of Electrical Engineering.