合著网络、社会资本与科研影响力  

Co-authorship Networks,Social Capital and Research Impact

作　　者：宋志红[1] 武天兰 李冬梅[3] 

机构地区：[1]山西大学管理与决策研究所,太原030006 [2]山西大学经济与管理学院,太原030006 [3]山西大学数学科学学院,太原030006

出　　处：《情报学报》2015年第11期1123-1131,共9页Journal of the China Society for Scientific and Technical Information

基　　金：教育部人文社会科学研究项目“知识共享、能力差异和企业网络的动态演进”(09Y JC630146)

摘　　要：以往文献主要考察了合著网络的结构特征与科研影响力之间的关系。本文以1990-2013年“竞争情报”研究领域中的合著网络为对象，采用泊松回归模型考察了合著网络中明星作者的结构资本、认知资本和关系资本对科研影响力的影响关系。研究结果表明：作者的度中心性和中介中心性对净被引次数均存在显著正向影响，且中介中心性对净被引次数的影响系数大于度中心性对净被引次数的影响系数；度中心性和中介中心性对净被引次数存在倒U形的影响关系。这一结果不仅证实了科学合作中存在最优规模，也意味着作者在合著网络中保持适度嵌人性能够提升科研影响力；作者的认知资本和关系资本对净被引次数也存在显著正向的影响。Previous literature mainly investigated the relationship between the co-authorship network structure and the research impact. This paper takes the co-authorship network in the field of competitive intelligence from 1990 to 2013 as the case, and investigates the impact of star authors＇ structural capital, cognitive capital and relational capital on research impact by applying Poisson regression model. The empirical resuhs indicate that： （1） Both degree centrality and betweenness centrality positively affect the net citations, and the impact of betweenness centrality on net citations is greater than that of degree centrality on net citations; （2） An inverted U-shaped relationship exists between the degree centrality and the net citations, so is the relationship between the betweenness centrality and the net citations. This result not only confirms the existence of the optimal cooperation size, but also indicates that maintaining an appropriate embeddedness can enhance the research impact in co-authorship network; and （3） The authors＇ cognitive capital and relational capital both positively affect the net citations.

关 键 词：合著网络 社会资本 结构资本 认知资本 关系资本 科研影响力 

分 类 号：G353.1[文化科学—情报学]