共被引网络中介中心性的Zipf—Pareto分布研究

Study on Zipf-Pareto Distribution of the Betweenness Centrality of a Co-citation Network

针对共被引网络的统计特性的研究,以科学计量学领域的权威期刊《科学计量学》（Scientometrics）为数据来源,建立共被引网络,明确了《科学计量学》（Scientometrics）中高被引文献与高中心性引文的特点;以该共被引网络为例,应用复杂网络分析方法,分析了共被引网络的统计特性,包括度分布、中介中心性的分布等。结果表明共被引网络是一个具有小世界、无标度特性的复杂网络;中介中心性的分布符合Zipf-Pareto分布;而且只有少部分引文节点具有高中介中心性的值,多数引文节点的中介中心性值都很小。

To investigate statistical characteristics of an evolving co-citation network,primarily in term of the dynamics of betweenness centrality measures,we generate co-citation network of papers published in journal of Scientometrics,and character the citations with high cited times or high betweenness centrality in the network.Our study shows that the overall co-citation network is a small-world and scale-free network.The co-citation network has a relatively small number of nodes with high betweenness centrality,most nodes have low betweeness centrality scores.Furthermore,the betweenness centrality distribution of the co-citation network follows Zipf-Pareto distribution.