• 한국IT서비스학회지
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• 제17권2호
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• pp.179-190
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• 2018

This study is about the influence of authors' centrality on research outcomes in a large-scale collaborative research network. Using the social network analysis method, five types of centralities were derived. Six research outcomes of individual researchers were also derived through bibliographic information of the social science field for the last 10 years. A multivariate regression analysis was conducted to examine the causal relationship between the centrality and research outcome, and the effect of centrality on research outcomes was found to be statistically significant. The result of this study shows that the revised citation and H-index significantly influenced the authors' centrality. This result can imply that the centrality of the researcher can expect a considerable influence of the thesis as well as a certain level of productivity. The meaning of this study is to analyze the effect of centrality on the research outcomes of the large-scale collaborative research network in the past decade, and is carefully to suggest a guideline in order to support new research information services for active researchers and the advancement of collaborative research. This study has its limitation for interpreting the diverse academic fields of the social sciences in a uniform way. In future study, it is necessary to conduct studies using various weighted indices for network centrality in order to measure the influence of research.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제7권5호
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• pp.169-176
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• 2018

본 연구의 목적은 지난 10년간 사회과학저널 전체에 대한 소셜 네트워크 분석을 수행하여 중심성과 연구성과 간의 관계를 분석하는 것이다. 절대적인 논문 수를 기준에 따른 상, 중, 하 그룹으로 연구성과와 상관관계 분석을 수행한 결과 대부분의 그룹에서 중심성과 연구 생산성의 상관관계는 높은 상관관계가 나왔지만 연구의 영향력과 인용 속도는 유의미한 결과가 도출되지 않았다. 또한, 종합적인 연구성과와의 관계에서는 중위 그룹의 상관관계가 상위 그룹보다 더 유의미하게 나타났다.