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- P-ISSN1225-598X
- E-ISSN2982-6292
나노바이오 분야 국내 연구자의 동적 협업 네트워크 변화 요인 분석
Factors Changing Dynamic Research Collaboration Network in Korean Nanobiotechnology
이춘실 (숙명여자대학교)
초록
본 연구의 목적은 학술논문에 출현하는 공저 관계를 중심으로 연구자들 간에 동적으로 변화하는 협업 네트워크를 분석하여 협업 형성의 요인을 규명하는 것이다. 연구 목적을 달성하기 위하여 국내 나노바이오 분야 연구자들이 SCI 저널에 투고한 논문 1,631편을 대상으로 총 3,898명의 연구자들 간의 공저 관계를 추출하고, 2001년부터 2015년까지 세 구간으로 나누어 동적 네트워크 분석을 수행하였다. 그 결과, 직전년도 공저 요인은 모든 구간에서 유의하였으나 연구 경력 요인은 구간2 ￫ 3에서 유의한 것으로 나타났다. 그리고 연구자 영향력 요인은 구간2 ￫3에서, 연구자 부상성 요인은 구간1 ￫ 2에서 유의한 것으로 나타났으나 연구자의 인기도와 기관의 명성 요인은 모든 구간에서 유의하지 않은 것으로 나타났다. 마지막으로 동일 소속기관, 주제의 유사성, 저널의 유사성 요인 모두가 구간에 관계없이 유의한 것으로 나타났다.
- keywords
- Dynamic Network Analysis, Co-authorship Network Analysis, Collaboration Factors, Stochastic Actor-Oriented Model(SAOM), Nanobiotechnology, 동적 네트워크 분석, 공저자 네트워크 분석, 협업 요인, 확률적 행위자 기반 모형, 나노바이오
Abstract
This study attempted to identify dynamically changing structure and analyze factors of collaboration. In order to perform this study, 1,631 articles in SCI journals were collected, and 3,898 researchers’ information were extracted. To examine the dynamics of collaboration networks, the co-authorship data collected from 2001 to 2015 were divided into three sets, and were analyzed with respect to each period. The results of this study were summed up as: 1) “Co-authorship of the last year” was entirely significant factors while research career was significant only in the period of 2 to 3. 2) It was found that “Influence of the researchers” and “Emergence of the researchers” were significant factors in the period of 2 to 3 and in the period of 1 to 2. 3) “Same institutions”, “Same subject”, and “Journal similarity” were significant factors in all periods.
- keywords
- Dynamic Network Analysis, Co-authorship Network Analysis, Collaboration Factors, Stochastic Actor-Oriented Model(SAOM), Nanobiotechnology, 동적 네트워크 분석, 공저자 네트워크 분석, 협업 요인, 확률적 행위자 기반 모형, 나노바이오
참고문헌
김용학. 2003. 『사회연결망 이론』. 서울: 박영사.
김선덕 외. 2016. 한국시스템다이내믹스 학회지 공저자 네트워크 특성에 관한 연구. 한국시스템다이내믹스연구, 17(3), 31-50.
나노기술정책센터. 2015. 『나노기술연감』. 과천: 미래창조과학부.
남은경, 박지홍. 2014. 연구자 협업의 영향 요인에 관한 연구. 정보관리학회지, 31(4), 201-227.
미래창조과학부. 2014. 『제2기 국가나노기술지도 총괄보고서』. 과천: 미래창조과학부.
안순일. 2009. 협동연구의 영향요인에 대한 실증적 연구. 대한경영학회지, 22(1), 291-327.
윤영수, 채승병. 2005. 『복잡계 개론』. 서울: 삼성경제연구소.
이수상. 2012. 『네트워크 분석 방법론』. 서울: 논형.
이인원. 2013. 기술적 네트워크 분석에서 통계적 네트워크 분석으로: 정책학 연구에 있어서 네트워크 방법론의 접목 가능성. 한국정책학회보, 22(2), 31-61.
Abbasi, A. 2016. A Longitudinal Analysis of Link Formation on Collaboration Networks.Journal of Informetrics, 10(3), 685-692.
Abbasi, A., Altmann, J., and Hossain, L. 2011. Identifying the Effects of Co-Authorship Networks on the Performance of Scholars: A Correlation and Regression Analysis of Performance Measures and Social Network Analysis Measures. Journal of Informetrics, 5(4), 594-607.
Adams, J. 2012. Collaborations: The Rise of Research Networks. Nature, 490(7420),335-336.
Anthony, T. 2000. Supply Chain Collaboration: Success in the New Internet Economy.Achieving Supply Chain Excellence through Technology, 2, 41-44.
Amabile, T. M. et al. 2001. Academic-Practitioner Collaboration in Management Research:A Case of Cross-profession Collaboration. Academy of Management Journal, 44(2), 418-431.
Barabási, A. L. 2002. LINKED: The New Science of Networks Perseus Publishing. Massachusets:Cambridge.
Birnholtz, J. P. 2007. When Do Researchers Collaborate? Toward a Model of Collaboration Propensity. Journal of the Association for Information Science and Technology, 58(14),2226-2239.
Cannella Jr, A. A., and McFadyen, M. A. 2016. Changing the Exchange: The Dynamics of Knowledge Worker Ego Networks. Journal of Management, 42(4), 1005-1029.
Demirkan, I., Deeds, D. L., and Demirkan, S. 2013. Exploring the Role of Network Characteristics, Knowledge Quality, and Inertia on the Evolution of Scientific Networks.Journal of Management, 39(6), 1462-1489.
Chung, E., Kwon, N., and Lee, J. 2016. Understanding Scientific Collaboration in the Research Life Cycle: Bio- and Nanoscientists’ Motivations, Information-Sharing and Communication Practices, and Barriers to Collaboration. Journal of the Association for Information Science and Technology, 67(8), 1836-1848.
Garfield, E. and Merton, R. K. 1979. Citation Indexing: Its Theory and Application in Science, Technology, and Humanities (Vol. 8). New York: Wiley.
Gulati, R. 1995. Social Structure and Alliance Formation Patterns: A Longitudinal Analysis.Administrative Science Quarterly, 40(4), 619-652.
Gulati, R., and Gargiulo, M. 1999. Where Do Interorganizational Networks Come From?American Journal of Sociology, 104(5), 1439-1493.
Hara, N. 2007. Information Technology Support for Communities of Practice: How Public Defenders Learn about Winning and Losing in Court. Journal of the American Society for Information Science and Technology, 58(1), 76-87.
Hara, N. et al. 2003. An Emerging View of Scientific Collaboration: Scientists' Perspectives on Collaboration and Factors That Impact Collaboration. Journal of the American Society for Information Science and Technology, 54(10), 952-965.
Katz, J. S., and Martin, B. R. 1997. What Is Research Collaboration? Research Policy, 26(1), 1-18.
Kim, J., and Diesner, J. 2016. Distortive Effects of Initial‐Based Name Disambiguation on Measurements of Large‐Scale Coauthorship Networks. Journal of the Association for Information Science and Technology, 67(6), 1446-1461.
Koka, B. R., Madhavan, R., and Prescott, J. E. 2006. The Evolution of Interfirm Networks:Environmental Effects on Patterns of Network Change. Academy of Management Review, 31(3), 721-737.
Kronegger, L. et al. 2012. Collaboration Structures in Slovenian Scientific Communities.Scientometrics, 90(2), 631-647.
Lee, D. H. et al. 2012. Collaboration Network Patterns and Research Performance: The Case of Korean Public Research Institutions. Scientometrics, 91(3), 925-942.
Lee, S., and Bozeman, B. 2005. The Impact of Research Collaboration on Scientific Productivity.Social Studies of Science, 35(5), 673-702.
Liu, N., and Guan, J. 2015. Dynamic Evolution of Collaborative Networks: Evidence from Nano-Energy Research in China. Scientometrics, 102(3), 1895-1919.
Martin, B. R. and Irvine, J. 1984. Foresight in Science–Picking the Winners. Pinter:London.
Melin, G. 2000. Pragmatism and Self-organization: Research Collaboration on the Individual Level. Research Policy, 29(1), 31-40.
Perianes-Rodriguez, A., Waltman, L., and van Eck, N. J. 2016. Constructing Bibliometric Networks: A Comparison between Full and Fractional Counting. Journal of Informetrics, 10(4), 1178-1195.
Powell, W. W. 1998. Learning from Collaboration: Knowledge and Networks in the Biotechnology and Pharmaceutical Industries. California Management Review, 40(3),228-240.
Price, D. D. S. 1976. A General Theory of Bibliometric and Other Cumulative Advantage Processes. Journal of the American Society for Information Science, 27(5), 292-306.
Ruef, M., Aldrich, H. E., and Carter, N. M. 2003. The Structure of Founding Teams:Homophily, Strong Ties, and Isolation among US Entrepreneurs. American Sociological Review, 195-222.
Seol, J. W., Lee, S. H., and Kim, K. Y. 2016. Author Disambiguation Using Co-Author Network and Supervised Learning Approach in Scholarly Data. International Journal of Software Engineering and Its Applications, 10(4), 73-82.
Sonnenwald, D. H. 2007. Scientific Collaboration. Annual Review of Information Science and Technology, 41(1), 643-681.
Sonnenwald, D. H. and McLaughlin, K. L. 2005. “Factors that Impact Interdisciplinary Natural Science Research Collaboration in Academia.” In International Society for Scientometrics and Informetrics (ISSI) 2005 Conference.
Thorsteinsdottir, O. 2000. External Research Collaboration in Two Small Science Systems.Scientometrics, 49(1), 145-160.
Yan, L., Peng, J., and Tan, Y. 2015. Network Dynamics: How Can We Find Patients Like Us? Information Systems Research, 26(3), 496-512.
Zinilli, A. 2016. Competitive Project Funding and Dynamic Complex Networks: Evidence from Projects of National Interest (PRIN). Scientometrics, 108(2), 633-652.
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