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

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).