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  • P-ISSN1225-598X

나노바이오 분야 국내 연구자의 동적 협업 네트워크 변화 요인 분석

Factors Changing Dynamic Research Collaboration Network in Korean Nanobiotechnology

한국문헌정보학회지, (P)1225-598X;
2018, v.52 no.1, pp.231-258
https://doi.org/10.4275/KSLIS.2018.52.1.231
이혜진 (숙명여자대학교)
이춘실 (숙명여자대학교)
  • 다운로드 수
  • 조회수

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

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