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.%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(Scientometrics)为数据来源,建立共被引网络,明确了(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.
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