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基于知识敏感度视角,在具有不同拓扑特征的规则网络、WS小世界网络和无标度网络上运用仿真方法研究知识敏感度变化策略下,软件行业联盟网络知识扩散规律。仿真结果表明,联盟网络知识敏感度的提高会加强这三种网络知识扩散的深度、资源配置的优化以及提高具有相近知识水平的主体空间聚集趋势;而且随着演化时期的延长,敏感度对知识扩散绩效的影响会因网络类型的不同产生差异化影响;与网络类型相比,联盟主体知识敏感度对知识扩散影响更为直接;高敏感度下,无标度网络是软件行业联盟知识扩散效应最优的网络结构。
Based on the knowledge sensitivity perspective, this paper uses simulation methods to study the rule of knowledge diffusion in WSNs, WS-small-world networks and scale-free networks with knowledge of different topological features. The simulation results show that the increase of the knowledge sensitivity of the alliance network will strengthen the depth of knowledge diffusion, the optimization of resource allocation and the tendency of subject space accumulation with similar knowledge level. And with the extension of the evolutionary period, the sensitivity of knowledge Compared with the network types, the knowledge sensitivity of alliance subjects has a more direct impact on knowledge diffusion; under high sensitivity, scale-free networks are the knowledge diffusion effect of the software industry alliance Optimal network structure.