• Journal of Korean Library and Information Science Society
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• v.42 no.2
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• pp.105-125
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• 2011

This paper grasps about various features of the coauthorship network based on the co-author frequency in the Korean LIS Research Community. This issue includes many topics such as changable aspects of coauthorship network, properties of higher cooperative authors groups. This work is mostly analyzed through a bibliographic analysis of articles which is published from 2000 to 2009(10 years) in Korean Library & Information Science major four journals. The results show three major implications. 1) There is a various structural changes of coauthorship network on the change of the co-author frequency. 2) There are 21 research pairs in the higher cooperative authors groups with the co-author frequency more than five. 3) There seems that any subjective relations between the articles which is produced by 21 research pairs were not clearly presents.

• Proceedings of the Korean Society for Information Management Conference
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• 1994.12a
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• pp.47-50
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• 1994

사회과학 분야의 공저율(12%)은 자연과학 분야(93%)와 비교하여 현저한 차이를 보였다. 그러나 문헌정보학의 한 소주제 분야인 정보학의 공저율은 80%로 학문간의 접목상태에 따른 공저율의 변화가 측정되었다. 한편 핵심저자군으로 구성된 공저자망 분석결과 매우 공저율이 높거나 거의 공저활동이 없는 두 유형의 저자군이 발견되었다.

• 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.

• 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.

• Proceedings of the Korean Society for Information Management Conference
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• 2013.08a
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• pp.27-30
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• 2013

공동연구 네트워크의 대표적인 사례인 공저 네트워크는 오랫동안 네트워크 분석의 대상으로 다루어져 왔다. 최근에는 가중 네트워크로서 공저 네트워크에 대한 연구가 활발해지면서 연구자의 영향력을 측정하려는 몇 가지 척도가 제안되었다. 이 연구에서는 공저 네트워크에서의 중심성을 측정하기 위해서 사용된 척도인 가중페이지랭크, 공동연구 h-지수와 공동연구 hs-지수, 복합연결정도중심성, c-지수에 대해서 비교 분석해본다.

• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.83-86
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• 2019

This study proposes a methodology for predicting co-authorship of contributors to a highly anticipated paper through link analysis and learning, taking into account the result of collaborative research. Previous studies predict the co-authorship with high accuracy, but this shows limitations in that the quality of the predicted relationship is not considered. Therefore, to solve the above problem, we propose three steps to predict the co-authorship that will help with the expected performance: (1) Construct a heterogeneous graph to measure results of collaborative research. (2) Analyze and learn links based on results of collaborative research. (3) Predict links that are anticipated to have high expectation. It is expected to be useful for increasing confidence in the predicted co-authorship.

• 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 the Korean Society for information Management
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• v.33 no.3
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• pp.7-29
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• 2016

The h-index is a popular bibliometric indicator for evaluating individual researchers. However, it has been criticized for its inconsistency with reflecting increased number of citations and disregarding the number of co-authors in a paper. In order to overcome these problems, we examined the g-index and other Hirsch-type indices considering the number of co-authors. Test data collection was extracted from Korean Citation Index database published from 2004 to 2013. The results of this study are as follows: First, g-index is more reliable indicator than h-index with consistency. Second, number of co-authors must be considered to maintain the h-index as an complex indicator applying the quality and the quantity of research performance. Finally, hc-index and gc-index, with fractionalised counting of the papers, can fairly measure the research performance of humanities researchers, and successfully prevent specific disciplines or institutions occupying majority of top rankings.

• Journal of the Korean Society for information Management
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• v.32 no.2
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• pp.167-192
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• 2015

The purpose of this research was to investigate the characteristics of library and information science (LIS) field in Asian countries, focusing on the case of Taiwan. In order to conduct this study, the obtained statistical data and co-authorship networks based on eight major LIS journals in Taiwan were analyzed and compared to the case of South Korea. In Taiwan like Korea, papers published by a single-author and 2 to 3 co-authors were the most common. The centrality analysis showed that leading professors in the national-level university in Taiwan have strong and distinctive ties in the network. Additional unique characteristics pertaining to collaboration in Taiwan include the existence of journals focused on practical aspects in the field of LIS and active research participation involving librarians who publish papers in these journals.