明星作者网络位置与科研产出的关系研究——以“竞争情报”领域为例

Research on the Relationship between Network Position of Star Author and Scientific Research Output

基于社会网络理论视角,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网络位置对科研产出的影响。研究结果表明,明星作者的自我网络规模对学术论文数量和净被引次数均存在显著正向影响;在合著网络中,中介中心性较高的作者发表的学术论文能够得到较高的净被引次数;而且中介中心性对净被引次数的影响比度中心性对净被引次数的影响更大。

Based on the perspective of social network theory, this paper takes the collaboration networks in the research field of competitive intelligence from 1990 to 2013 as the object, and investigates the influence of the network position of star author on scientific research output in collaboration networks by using the Poisson regression model. The research result shows that the self network scale of star author has a significant positive influence on both the quantity and net citation of academic papers. In collaboration networks, the author with higher betweenness can achieve higher net citations of published academic paper; and the influence of betweenness on net citation is much bigger than the influence of degree on net citation.