바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

공저 네트워크 분석에 관한 기초연구 - 문헌정보학 분야 4개 학술지를 중심으로 -

A Preliminary Study on the Co-author Network Analysis of Korean Library & Information Science Research Community

한국도서관·정보학회지 / Journal of Korean Library and Information Science Society, (P)2466-2542;
2010, v.41 no.2, pp.297-315
https://doi.org/10.16981/kliss.41.2.201006.297
이수상 (부산대학교)
  • 다운로드 수
  • 조회수

초록

본 연구는 협력 네트워크의 일종인 공저 네트워크의 형태와 저자들의 학술적 영향력을 설명하는 각종 분석지표들의 의미와 관계를 살펴보는 기초연구이다. 분석대상은 국내의 문헌정보학 분야 4개 학술지(한국문헌정보학회지, 한국도서관․정보학회지, 정보관리학회지, 한국비블리아학회지)에 지난 10년(2000년-2009년) 동안 투고된 논문들이다. 주요한 분석 결과를 정리하면 다음과 같다. 첫째, 논문 투고수에는 파레토 법칙 현상이 나타났다. 둘째, 투고수가 높은 저자들의 경우, 단독저작 논문 보다는 공동저작의 논문들이 조금 더 많이 생산되었다. 셋째, 투고논문수가 많은 저자들은 대부분의 학술적 영향력 지표와 상관관계가 있는 것으로 나타났다.

keywords
Network Analysis, Coauthorship Network, Centrality Analysis, Impact Analysis, 네트워크 분석, 공저 네트워크, 중심성 분석, 영향력 분석

Abstract

This study investigates the various statistical data and measures of coauthorship network in the Korean LIS Research Community such as patterns of coauthorship, structural properties, types of cluster, centrality & impact analysis. This issues are mostly addressed through a Social Network Analysis of articles published from 2000 to 2009(10 years) in Korean Library & Information Science major four Journals. The coauthorship network was constructed and various measures of four centralities, PageRank, Effect size were calculated. The results show three implications. 1) There presents a phenomenon of Pareto's law in the articles publishing counts. 2) The top authors based on publishing counts prefer co-work publishing than solo-publishing. 3) The counts of article publishing are significantly correlated with five measures of network and not correlated with the case of power centrality.

keywords
Network Analysis, Coauthorship Network, Centrality Analysis, Impact Analysis, 네트워크 분석, 공저 네트워크, 중심성 분석, 영향력 분석

참고문헌

1.

1) Julia Osca-Lluch et al., “Co-authorship and citation networks in Spanish history of science research,”Scientometrics, Vol.80, No.2(2009), pp.373-383.

2.

2) Theresa Velden, Asif-ul Haque and Carl Lagoze, “A New Approach to Analyzing Patterns of Collaboration in Co-authorship Networks - Mesoscopic Analysis and Interpretation,” 2010, arXiv:0911.4761.

3.

3) 최영훈, 이강춘, “학술논문 공동저술 유형 분석: 한국행정학보(1989-2008) 기고논문을 중심으로,” 한국행정학보, 제43권, 제3호(2009)

4.

4) H. Kretschmer, “Coauthorship networks of invisible colleges and institutionalized communities,” Scientometrics, Vol.30, No.1(1994), pp.363-369.

5.

5) H. Kretschmer, “Patterns of behaviour in coauthorship networks of invisible colleges,” Scientometrics, Vol.40, No.3(1997), pp.579-591.

6.

6) Xiaoming Liu, et al., “Co-authorship networks in the digital library research community,” Information Processing & Management, Vol.41(2005)

7.

7) M. E. J. Newman, “Scientific collaboration networks. I. Network construction and fundamental results,” Physical Review E, Vol.64(2001)

8.

M. E. J. Newman, “Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality,” Physical Review E, Vol.64(2001)

9.

8) A. Barabasi, et al., “Evaluation of the social network of scientific collaborations,” Physica A: Statistical Mechanics and its Applications, Vol.311, No.3-4(2002), pp.590-614.

10.

9) 김용학 등, “과학기술 공동연구의 연결망 구조: 좁은 세상과 위치 효과,” 한국사회학, 제41권, 제4호(2007), pp.68-103.

11.

12) 황명호, 안중호, 장정주, “협력 네트워크 패턴에 관한 연구: MIS Quarterly 공저자 분석을 중심으로,” 한국전자거래학회지, 제13권, 제4호(2008), pp.193-207.

12.

13) 남수현, 설성수, “한국의 기술혁신 연구자 관계구조 분석: 사회네트워크 관점,” 기술혁신학회지, 제10권, 제4호 (2007), pp.605-628.

13.

14) Erjia Yan and Ying Ding, “Applying Centrality Measures to Impact Analysis: A Coauthorship Network Analysis,” Journal of the American Society for Information Science and Technology, Vol.60, No.10(2009), pp.2107-2118.

14.

15) Cédric Gossart and Müge Özman, “Co-authorship networks in social sciences: The case of Turkey,” Scientometrics, Vol.78, No.2(2009), pp.323-345.

15.

16) Juan-L. Merelo and Carlos Cotta, “Who is the best connected EC researcher? Centrality analysis of the complex network of authors in evolutionary computation," 2008. arXiv:0708.2021v1.

16.

19) Jian-Guo Liu et al., “Weighted network properties of Chinese nature science basic research,” Physica A:Statistical Mechanics and its Applications, Vol.377, No.1(2007), pp.302-314.

17.

20) Thomas Krichel and Nisa Bakkalbasi, “A social network analysis of research collaboration in the economics community,” 2006. In The International Workshop on Webometrics, Informetrics and Scientometrics & Seventh COLLNET Meeting, Nancy(France), 10-12(May 2006). [Conference Paper].

18.

21) James Moody, “The Structural of a Social Science Collaboration Network: Disciplinary Cohesion from 1963-1999,” American Sociological Review, Vol.69(2004), pp.213-238.

19.

23) 이수상, 위성광, “디지털 도서관 이용자의 검색행태 연구 - 검색 로그 데이터의 네트워크 분석을 중심으로,” 한국도서관․정보학회지, 제40권, 제4호(2009), pp.139-158.

20.

24) L. C. Freeman, “Centrality in social networks: conceptual clarification," Social Networks, Vol.1, No.3(1979), pp.215-239.

21.

25) N. Perra and S. Fortunato, “Spectral centrality measures in complex networks," Physical review E, Vol.78 (2008), 036107.

22.

26) Robert A. Hanneman, “10. Centrality and power,” at Introduction to social network methods, <http://faculty.ucr.edu/~hanneman/nettext/Introduction_to_Social_Network_Methods.pdf> [cited 2010. 5. 15].

23.

27) 손동원, 사회 네트워크 분석(서울 : 경문사, 2002), p.95.

24.

28) P. Bonacich, “Factoring and Weighting Approaches to Status Scores and Clique Identification," Journal of Mathematical Sociology, Vol.2(1972), pp.113-120

25.

P. Bonacich. “Power and Centrality: A Family of Measures," American Journal of Sociology, Vol.92(1987), pp.1170-1182.

26.

29) L. Page and S. Brin, “The anatomy of a large-scale hypertextual Web search engine," Computer Networks and ISDN Systems, Vol.30(1998), pp.107-117.

한국도서관·정보학회지