网络信息计量学领域国内外合著网络分析

通过收集1 756篇国内和427篇国外网络信息计量学领域的文献合著数据,运用社会网络分析方法建立和研究了国内和国外科研合著网络,分析两个网络的整体特性,通过对其网络密度、平均路径、聚类系数的研究和对网络中的连通组群进行集团特征分析,揭示国内和国外合著现状与模式,研究发现,国外合著网络情况优于国内,隐性知识传播明显,但网络规模较小。

Co-authorship Network Analysis in the Field of Webometrics of Domestic and Foreign

In this paper, 1756 domestic and 427 foreign literature co-authorship data in the field of webometrics have collected, the use of social network analysis methods to establish and study the domestic and foreign Co-authorship network, analysis of the overall characteristics of the two networks, through its network Density, average path, clustering coefficient and group analysis of connected groups in the network, revealed both domestic and foreign co-author status and model, and the study found that the foreign Co-authorship network is superior to the domestic, tacit knowledge is obvious, but the network is small.