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系统分析了高技术产业创新网络中知识云传播过程和特征,构建了知识云传播的系统模型。考虑到知识云传播过程中受传者接收知识后由于离线或其它原因导致不能即时再传播的潜伏状态,建立了高技术产业创新网络中知识云传播的传染病动力学模型,并以此对知识云传播模式进行了定量分析。仿真结果刻画了知识云传播过程中各节点随时间的变化趋势,分析了成员行为和云平台网络参数对云传播过程的影响。高技术产业创新网络中知识云传播模式能正确反映云环境下的知识传播趋势,并能较为准确地描述知识云传播过程。
The process and characteristics of knowledge cloud transmission in high-tech industry innovation network are systematically analyzed, and a system model of knowledge cloud transmission is constructed. Considering the hidden state that the receiver can not instantaneously re-transmit due to offline or other reasons after receiving the knowledge in the process of knowledge cloud transmission, a dynamic model of infectious disease of knowledge cloud transmission in high-tech industry innovation network is established, The cloud transmission model was quantitatively analyzed. The simulation results depict the trend of each node in the process of knowledge cloud transmission over time, and analyze the influence of member behavior and cloud platform network parameters on the cloud transmission process. The model of knowledge cloud transmission in high-tech industry innovation network can correctly reflect the trend of knowledge transmission in cloud environment and can describe the process of knowledge cloud transmission more accurately.