科技期刊引用复杂网络模型

Science Journal Citation Complex Network Model

文章研究了科技期刊论文间相互引用所形成的核心期刊引用网络模型。通过仿真验证和理论分析,网络模型节点的度分布(论文引用次数)符合幂率分布,证明此网络为一种无标度网络模型。为了说明该网络模型的有效性,作者收集了2007年1月至2009年12月三年间发表在23个核心期刊上的论文,建立科技期刊引用网络。按照获取的数据,发现网络模型结论与分析统计的数据相同,核心期刊引用网络的演化过程可以清晰由该模型描述,对推导论文的重要性具有积极的意义。

This article mainly studies the core journal quotation network model which between the technical periodical paper quotes mutually forms.Through the simulation confirmation and the theoretical analysis,the network model node the distribution（paper quotation number of times） conforms to the power rate distribution,proved that this network is one kind of non-scale network model.In order to explain that this network model the validity,the author collected January,2007 from during three years to publish to the December,2009 in 23 core journal paper,established the technical periodical quotation network.According to the gain data,discovered that the network model conclusion and analytic statistics data is the same,the core journal quotation network＇s evolutionary process may describe clearly by this model,to infers the paper the importance to have the positive significance.