中文摘要：

利用WS小世界网络模型构建知识网络的结构演化模型,通过度与度分布、平均最短路径长度及集聚系数等参数变化反映结构的时序变化,通过平均知识存量及标准差计算反映知识主体的行为变化,从而有助于明确知识网络结构演化微观动力机制及其结构演化过程细节。模型中知识网络主体的价值优化预期是网络结构演化动力,网络结构演化具体过程则涉及知识网络价值计算、知识节点耦合成本计算以及关系边权重计算三方面。

英文摘要：

In this paper, WS small-world model is used to construct the structural evolution model of knowledge network, the time series change of structure is reflected by means of degree and degree distribution, mean shortest path length and ag- gregation coefficient, the behavior change of knowledge subject is reflected by means of the average stock of knowledge and standard deviation calculation, which helps to clarify the evolution mechanism of knowledge network structure and the details of evolution. In the model, the knowledge value optimization of network nodes is the dynamic mechanism of knowledge net- work structure evolution. And the concrete process of knowledge network structure evolution involves three aspects ： knowl- edge network value calculation, knowledge node coupling cost calculation and relation edge weight calculation.