基于社会网络分析的科研团队发现研究

The Identification of Research Teams Based on Social Network Analysis

通过万方数据库获取我国肿瘤学科研究领域2002-2012年间的31种期刊论文数据,构建该年度期间肿瘤学科研究领域合著网络、共词网络和作者关键词耦合网络模型,并利用社会网络分析方法中的中心性分析、凝聚子群分析等方法从整体网和个体网、2-模网络和1-模网络等角度发现科研团队成员、科研团队研究主题和团队相互间的关系。

The authors built up the co-authorship network, co-keyword network and the author-keyword-coupling network to identify the scientific research teams by using the data sources from 31 journals in the field of tumor through Wanfang Database from 2002 to 2012 in China. Using the social network analysis methods such as Centrality Analysisand Cohesive Subgroup Analysisto, the authors analyzed the networks from several angles to identify the members, research ar- eas of scientific research team and the relationships between the teams.