• Title/Summary/Keyword: co-authorship

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A Study on Co-authorship Network in the Journals of a Branch of Logistics (물류 분야 학술지의 공저자 네트워크 및 연구주제 분석)

  • Lim, Hye-Sun;Chang, Tai-Woo
    • IE interfaces
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    • v.25 no.4
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    • pp.458-471
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    • 2012
  • In this study, we investigate the cooperative relationships between researchers who have co-authorship in the logistics-related journals in Korea by using social network analysis (SNA). We analyzed the co-authorship data of 781 articles published from 2005 to 2011 in four journals of 'Logistics Study', 'Journal of Korean Society of SCM', 'Korea Logistics Review' and 'Journal of Shipping and Logistics.' We examined the trend of cooperative research in the field of logistics with basic data of the co-authorship network. Then, we analyzed structural properties of the network and the sub-networks of research groups having co-authorship. We could verify the authors who play important roles within the network by using SNA indicators. In addition, we constructed the keyword networks based on the keyword data of all articles by research groups in order to understand the research topics of each group, and thereby we could draw several implications on the cooperative researches in the field of logistics.

Predicting Co-Authorship based on Link analytics and learning (링크 분석 및 학습을 통한 공동연구성과 기반 공저자 관계 예측)

  • Jeon, HyeonJu;Kim, YunHu;Jung, Jason J.;Kim, Kono
    • 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.

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Comparative Analysis of Korean Universities' Co-author Credit Allocation Standards on Journal Publications (국내대학의 학술논문 공동연구 기여도 산정 기준 비교 분석)

  • Lee, Hyekyung;Yang, Kiduk
    • Journal of Korean Library and Information Science Society
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    • v.46 no.4
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    • pp.191-205
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    • 2015
  • As the first step in developing the optimal co-authorship allocation method, this study investigated the co-authorship allocation standards of Korean Universities on journal publications. The study compared the standards of 27 Korean universities with Library and Information Science (LIS) departments, and analyzed author rankings generated by applying inflated, fractional, harmonic, and university standard method of co-authorship allocation to 189 Korean LIS faculty publications from 2001 to 2014. The university standards most similar to the standard co-authorship allocation method in bibliometrics(i.e. Vinkler) were those whose co-author credits summed up to 1. However, the university standards differed from Vinkler's in allocating author credits based on primary and secondary author classification instead of allocation based on author ranks. The statistical analysis of author rankings showed that the harmonic method was most similar to the university standards. However, the correlation between the university standards whose co-author credits summed up to greater than 1 and harmonic method was lower. The study results also suggested that middle-level authors are most sensitive to co-authorship allocation methods. However, even the most generous university standards of co-authorship allocation still penalizes collaborative research by reducing each co-authors credit below those of single authors. Follow-up studies will be needed to investigate the optimal method of co-authorship credit allocation.

A Study on Korean Intellectural Structure of OLED Technology Using Co-Authorship Analysis (동시저자분석을 통한 한국의 OLED 분야 지식구조 파악을 위한 연구)

  • Kim, Wan-Jong;Noh, Kyung-Ran;Seo, Jinny;Kwon, Oh-Jin;Jeong, Eui-Sob
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.667-671
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    • 2006
  • Co-Authorship analysis is a kind of bibliometric analysis. and a well established tool for character of knowledge network in some technical fields. If more than two authors co-author an article, there is a relation of knowledge. So This study aims at discovering the trends and phases of OLED technology using co-authorship analysis, a kind of bibliographic analysis. The Science Citation Index Expanded(SCIE) database was used to search for the number of times paired Korean articles were co-authored in OLED field.

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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
    • 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.

Patterns of Collaboration Networks:Co-authorship Analysis of MIS Quarterly from 1996 to 2004 (협력 네트워크 패턴에 관한 연구: MIS Quarterly 공저자 분석을 중심으로)

  • Huang, Ming-Hao;Ahn, Joong-Ho;Jahng, Jung-Joo
    • The Journal of Society for e-Business Studies
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    • v.13 no.4
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    • pp.193-207
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    • 2008
  • The study investigates the co-authorship networks of MIS Quarterly as one of the leading journals in IS field and examines patterns of collaboration networks of the intellectuals. These issues are addressed through a systematic Social Network Analysis (SNA) of 242 articles published from 1996 to 2004 in MIS Quarterly. Results of co-authorship network analysis indicate that the whole incomplete network has a low degree of density. Thus, we analyzed three biggest sub-networks to find out who the key players of each sub-network are. Then, following the keyword classification scheme, relevant data from the articles were collected and coded to analyze three major co-authorship networks of MIS Quarterly community. Some implications are drawn from different research keywords of each sub-network.

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A co-authorship network analysis on mathematics education scholars (수학교육 연구자의 공동출판 연결망)

  • Kim, Sungyeun
    • The Mathematical Education
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    • v.52 no.4
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    • pp.483-496
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    • 2013
  • In this study, we investigated the structure of the mathematics education scholars' co-authorship relationship in papers registered at the National Research Foundation of Korea by social network analysis. The data were 354 scholars from 257 papers in 4 journals from 2009 to 2013 based on 'the 2009 revised Korean National Curriculum'. For the analysis, Pajek3 and UCINET6.3 were used. The results of this study were as follows: First, each of the mathematics education scholars is connected on average with about 5 paths of intermediate collaborators. Second, Analyses of the first component group found distinguishable scholar groups' characteristics depending on their affiliations, majors, and job statuses. Third, there were scholars having high values in network degree centrality measures despite not having high numbers in published papers. On the contrary, there sere scholars having high numbers in published papers despite not having high values in network analysis. Finally, I suggested the directions for the future research with the limitations of this study.

Analysis of Co-authorship Network in the Lifelong Vocational Education and Training: An Analysis of Papers Published from 2000 to 2015 in Korea (평생 직업교육훈련 분야의 공저자 네트워크 분석: 2000년~2015년 국내 학술논문을 중심으로)

  • Park, Ji-Young;Lee, Hee-Su
    • Journal of vocational education research
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    • v.35 no.6
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    • pp.85-112
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    • 2016
  • This study aims to identify the cooperative relations among researchers and their network structures based on the academic papers published in the field of lifelong vocational education and training from 2000 to 2015. Authors in three representative journals, 'Journal of Lifelong Education', 'Journal of Vocational Education Research', and 'Korea Research Institute for Vocational Education & Training,' during the periods, were selected and co-authorship network analysis was applied using NetMiner 4.0 in order to find the social relation among researchers and their academic influences. The results showed that the research productivity in the field of lifelong vocational education and training forms a shape of the power function where there exist components called, 'detailed research groups.' This network structure represents characteristics of a small world. In addition, the centrality analysis suggest authors with high centrality serve as co-authors who play as a central role on the network and exchange information with other researchers, while those with high betweenness centrality serve as a channel where they transfer knowledge and information among research groups. Increasing member of co-authorship has positively contributed to the opportunity and development of cooperative research among researchers in the field of lifelong vocational education and training. However it is recommended co-authorship be formed more heterogeneously instead of a few researches centrally dominate co-authorship. Various researchers should continually conduct research for good research performances.

A Study on the Spatial Distribution Patterns of Co-authoring Activities in the Korean Cadastral Research Field (한국 지적학 연구분야 공동저술활동의 공간분포패턴연구)

  • Kim, Yun-Ki
    • Journal of Cadastre & Land InformatiX
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    • v.50 no.2
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    • pp.203-219
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    • 2020
  • The primary purpose of this study is to identify spatial distribution patterns of co-authoring activities in Korean cadastral science. The analysis showed that a small number of researchers played an essential role in the Korean cadastral co-authorship network. In particular, some authors not only had a significant influence on other nodes in the network but also served as intermediaries between researchers. Moreover, the distance between researchers influenced co-authorship decisions to a limited extent. This study differs considerably from previous studies in that it used spatial analysis techniques to identify spatial distribution patterns of co-authoring activities. However, this research is limited in that it applied only 2019 data to determine the spatial distribution pattern of co-authoring activities. We can overcome this limitation if we analyze the spatial distribution patterns of co-authoring activities using multi-year data in future studies.

Research Productivity and Citation Performance of Researchers by Co-authorship Type in the Biological Sciences (생명과학 분야 연구자들의 공동연구 유형별 연구 생산성과 인용 성과 분석)

  • Kim, Mee-Jean
    • Journal of the Korean Society for Library and Information Science
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    • v.52 no.3
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    • pp.149-169
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    • 2018
  • The purpose of this study is to provide an in-depth analysis on the research productivity and the research performance of the School of Biological Sciences' faculty at the S University by their co-authorships and further to identify any difference in the citedness by their co-authorships. For the years 2004-2013, a total of 1,135 publications, published by thirty-nine faculty members, were collected and their publication patterns were analyzed by co-authorships. For the years 2004-2016, the citations to the 1,135 publications were analyzed by co-authorships. Among the four co-authorship types, the total number of publications by the domestic and international co-authorships amounted to 832(73.3%), and the study also found a statistical difference in the citation performance, i.e., the average number of citations per paper by co-authorships (F =4.830, $p=0.003^{**}$).