Comparative Analysis on the Relationships between the Centralities in Co-authorship Networks and Research Performance Considering the Number of Co-authors (공저자 수를 고려한 공저 네트워크 중심성과 연구성과의 연관성 분석)

Lee, Jae Yun (이재윤)

doi:10.3743/KOSIM.2016.33.4.175

Comparative Analysis on the Relationships between the Centralities in Co-authorship Networks and Research Performance Considering the Number of Co-authors

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2016, 33(4), pp.175~199
DOI : 10.3743/KOSIM.2016.33.4.175
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : November 21, 2016
Accepted : December 16, 2016
Published : December 30, 2016

Lee, Jae Yun ¹

¹명지대학교

Accredited

ABSTRACT

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.

KEYWORDS

co-authorship network, research performance, network centrality, co-authors, research collaborations

Citation status

* References for papers published after 2023 are currently being built.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Comparative Analysis on the Relationships between the Centralities in Co-authorship Networks and Research Performance Considering the Number of Co-authors

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* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Comparative Analysis on the Relationships between the Centralities in Co-authorship Networks and Research Performance Considering the Number of Co-authors

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KEYWORDS

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