基于超网络的图书情报领域知识合作特征分析

Feature Analysis of Knowledge Cooperation in the Field of Library and Information Science Based on Supernetwork

文章通过建立知识合作超网络模型来刻画其特征,并将该模型应用于图书情报研究领域的一个具体实例中。结果表明知识合作子网特征分析可揭示知识合作中的作者合著、机构合作、领域交叉和文献主题等特征信息;知识合作超网络的超边特征分析可反映作者偏好,建立作者标签模型,便于我们进行聚类分析,用于划分凝聚子群,确定知识合作团体。

This paper establishes a supemetwork model of knowledge cooperation to characterize knowledge cooperation features and apply the model to a specific instance in library and information science. Results show that feature analysis of each subnetwork of knowledge cooperation can reveal the information like author collaboration, research institution collaboration, intersect disciplinary research, and literature theme publishing. Feature analysis of superedge of knowledge cooperation supernetwork cannot only be used to reflect the author＇s preference, establish author tag model, but also help us to carry out cluster analysis to determine knowledge cooperation groups.