科研合作网络中心性与学术影响力——以Science(2000-2018)为样本

The Relationship Between Scientific Collaboration Network Centrality and Research Impact--Using the Journal Science(2000-2018)as an Example

科研合作在科学知识生产中扮演着重要角色。文章运用社会网络分析方法,以2000年1月-2018年6月Science刊载的14,913篇学术论文为样本,分别搭建学者节点合作网络模型和论文节点合作网络模型,通过相关性分析和OLS回归分析方法,研究学者在科研合作网络的中心性与其学术影响力之间的关系。研究结果表明,在2种网络模型中,程度中心性、紧密中心性和中介中心性与学术影响力为正向影响关系。文章的理论探讨和实证分析深化了科研合作网络研究。

Scientific collaboration plays a crucial role in the production of new knowledge.Adopting social network analysis and based on a sample of 14,913 articles from the journal Science(2000-2018),this study builds network models of scientists’collaboration and articles by collaboration.Using Spearman’s rank correlation analysis and OLS regression analysis,the relationship between centrality in research collaboration network and research impact is examined thoroughly.Findings show that the degree of centrality,closeness centrality and betweenness centrality have direct connection to research impact.Theoretical and empirical analyses from this article bring research collaboration network study to new heights.