在创新孵化网络演化机制的基础上,描述了创新孵化网络内知识双重扩散过程;同时考虑网络关系边权演化和知识势差等因素,提出三种知识扩散方选择策略并进行模拟仿真。结果显示:具有无标度特征的创新孵化网络能够有效提升网络整体知识水平和知识均衡度;以知识势差为扩散准则的实用策略可暂时提高网络整体知识水平,但会降低知识均衡度;从长远来看,综合考虑知识势差和关系强度的融合策略是提高网络整体知识水平以及均衡度的有效策略。
Based on evolution mechanism of innovation incubation network, this paper describes the process of knowledge dual-distribution and puts forward three object selection strategy. Then the simulation experiment was done. The results show that: Firstly, innovation incubation network with scale-free characteristic can enhance knowledge level and equilibrium degree of whole network; Secondly, pragmatic strategy based on knowledge potential difference can enhance knowledge level temporarily, but increase the differentiation of knowledge in network;Thirdly, in the long run, confluent strategy considering knowledge potential difference and connection strength is effective to enhance knowledge level and equilibrium degree of whole network.