网络的策略演化模型及其在知识交流网络结构仿真中的应用

Network strategic evolution model and its application to structure simulation of knowledge-sharing network

为了验证网络战略演化模型能够生成呈现大部分真实社会网络主要结构特性的网络,并探索知识缄默性对网络结构的影响规律,为此,引入空间动态连接模型来描述代理人之间连接的策略模式,运用时间非齐次的马尔可夫随机过程来刻画网络动态演化过程,进而利用动力学仿真研究知识缄默性对网络结构的影响规律。结果显示,当衰减参数处于区间[0.35,0.7]时,网络呈现集聚性,并且只有很少的代理人维持长连接;当代理人之间连接成本呈正态分布时,度的分布是非对称的。事实上,此时的网络呈现出了小世界特性。

In order to verify that the network evolution model can generate the networks that had the major structural characteristics of most real social network,and explored the law that tacit knowledge impacts on the network structure,this paper introduced the spatial dynamic model to describe the connection link between the strategy of the agent model,and made use of time nonhomogeneous Markov random process to characterize the dynamic evolution of the network,thus the use of tacit knowledge dynamics simulation study of the influence of the network structure.The result shows,for the decay parameter in the interval [0.35,0.7],the network shows clustering and only a few agents sustains long links.When the costs of link formation were normally distributed across agents,asymmetric degree distributions were also obtained.In fact,such networks exhibited the small world property（high clustering and short average path）.