The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
권호 표지
DOI QR코드

DOI QR Code

Analysis of Papers in the Korean Journal of Applied Statistics by Co-Author Networks Analysis

공저자 네트워크를 활용한 응용통계연구 분석

  • Lee, M. (Department of Statistics, Korea University) ;
  • Park, M. (Department of Preventive Medicine, Eulji University) ;
  • Lee, H. (Department of Statistics, Korea University) ;
  • Jin, S. (Department of Informational Statistics, Korea University)
  • 이민희 (고려대학교 통계학과) ;
  • 박미라 (을지대학교 예방의학교실) ;
  • 이효정 (고려대학교 통계학과) ;
  • 진서훈 (고려대학교 정보통계학과)
  • Received : 20111000
  • Accepted : 20111100
  • Published : 2011.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study analyzed an aspect of co-author relationship in papers published in the Korean Journal of Applied Statistics by social network analysis. The data were extracted from 664 papers in the journal from 2000 to 2010. Authors at center of the network are detected by a network centrality analysis. Sub-network analysis found distinguishable research groups from the point of view of their topics or affiliations. The significance of affiliations to co-author relationship was examined by logistic regression analysis.

본 연구는 사회 네트워크 분석을 활용하여 응용통계연구에 논문을 게재한 저자 간 공동 연구의 양상을 분석하였다. 2000년부터 2010년까지 총 664개의 논문을 대상으로 하였으며 네트워크 분석을 통해 공저자 네트워크의 중심을 구성하는 연구자를 찾아보았고 하위 네트워크 분석을 통해 연구 분야 및 공동연구 집단이 차별화되는 네트워크를 살펴보았다. 또한, 공저관계를 반응변수로 하고 소속집단을 설명변수로 하는 로지스틱 회귀분석을 수행하여 소속집단이 공동연구에 미치는 영향정도를 분석해 보았다.

Keywords

References

  1. 손동원 (2002). 사회 네트워크 분석, 경문사, 서울.
  2. 정민수, 정동준(2007). 국내 예방의학 분야의 공저자.핵심어 네트워크와 군집 양상: 대한예방의학회지(1991-2006) 게재논문의 분석, 예방의학회지, 14, 1-9. https://doi.org/10.3961/jpmph.2008.41.1.1
  3. 허명회 (2010). R을 활용한 사회네트워크분석 입문, 자유아카데미, 경기.
  4. Fruchterman, T. M. J. and Reingold, E. M. (1991). Graph drawing by force-directed placement, Software- Practice and Experience, 21, 1129-1164. https://doi.org/10.1002/spe.4380211102
  5. Kamada, T. and Kawai, S. (1989). An algorithm for drawing general undirected graphs, Information Processing Letters, 31, 7-15. https://doi.org/10.1016/0020-0190(89)90102-6
  6. Malin, B. and Carley, K. (2007). A longitudinal social network analysis of the editorial boards of medical informatics and bioinformatics journals, Journal of the American Medical Informatics Association, 14, 340-348. https://doi.org/10.1197/jamia.M2228
  7. Newman, M. E. J. (2001). Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality, Physical Review E, 64, 016132-1-016132-6. https://doi.org/10.1103/PhysRevE.64.016132

Cited by

  1. A Case Analysis on Safety Researcher Relationship during 2011-2013 vol.16, pp.4, 2014, https://doi.org/10.12812/ksms.2014.16.4.247
  2. Global Research Trends on Geospatial Information by Keyword Network Analysis vol.23, pp.1, 2015, https://doi.org/10.12672/ksis.2015.23.1.069
  3. The comparison of coauthor networks of two statistical journals of the Korean Statistical Society using social network analysis vol.26, pp.2, 2015, https://doi.org/10.7465/jkdi.2015.26.2.335
  4. The Analyses of Research Productivity and Review Efficiency for IT Related Journal vol.13, pp.4, 2014, https://doi.org/10.9716/KITS.2014.13.4.093