“纵向交叉”型创新网络中新兴技术企业知识协同演化的仿真研究

Simulation Study on Knowledge Co-Evolution of Emerging Technological Enterprises in Vertical-Crossing Innovation Network

基于复杂网络和创新网络的概念,对创新网络中核心主体的知识协同及其演化活动进行了仿真分析。通过构建知识协同演化模型,设置知识主体的协同行为策略和创新网络结构更新规则,模拟新兴技术企业与学研机构间知识协同活动的动态变化,研究在"纵向交叉"型创新网络中,核心主体间的知识协同及其演化活动对主体及整体网络的知识水平、知识增长率、合作水平以及协同效益的影响。研究发现:在固定主体策略和网络结构下,具有更多积极知识主体的创新网络更有利于知识协同;在固定主体策略下,网络结构更新越快,知识协同效果越好;主体策略和网络结构同时发生变化时,知识主体较快的策略更新速度伴随较快的网络结构更新速度更有利于形成较好的知识协同效果。

Based on the theory of complex network and innovation network and constructing the model of knowledge coevolution, this article sets up collaborative behavior strategies of innovators and rules for updating the structure of innovative networks and simulates the dynamic changes of the knowledge collaborative activities among emerging technology enterprises, universities and scientific research institutions. It analyzes the influence of knowledge synergy and evolution among the core innovators on the knowledge level, knowledge growth rate, cooperation level and synergistic benefit of the innovators and the whole network from the perspective of 'vertical-cross' innovation network.The results are as follows: Under the background of fixed subject strategy and network structure, the innovation network with more active knowledge subjects is more conducive to knowledge collaboration. Under the background of fixed subject strategy, the faster the network structure updates, the better the effect of knowledge synergy will be. If the subject strategy and network structure are updated at the same time, the faster updating speed of the strategy accompanied by the faster updating speed of the network structure is more conducive to forming the better knowledge synergy effect.