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鉴于创新活动中组织和惯例之间的互动依赖关系,提出了组织-惯例耦合相依的技术创新网络,从节点负荷、节点容量、子网络内部与子网络间的失效机制入手,构建了相依技术创新网络的级联失效模型,分析不确定干扰下级联失效蔓延的动态演化机制,运用数值仿真探讨了相依模式与关键参数对拓扑结构及创新能力的脆弱性影响,通过实例进行了验证分析。结果表明:组织和惯例节点存在抗干扰能力阈值,小于该阈值会致使相依技术创新网络产生级联崩溃现象;相依网络间耦合强度与抗干扰能力阈值呈近似U型关系,存在最优耦合强度;组织-惯例的对称均匀结构比对称非均匀结构具有更强的鲁棒性;负荷作用下异配相依模式能够增强相依技术创新网络抵御级联失效的能力;当小于最优耦合强度时,度大失效和随机失效比度小失效对拓扑结构及创新能力的破坏性影响较大,反之,三种不确定干扰方式间的差异性减小。研究结论对提升技术创新网络的抗风险能力具有重要意义。
In view of the interactive dependency between organizations and practices in innovation activities, a technology-innovation network with organization-convention coupling is proposed. Starting with node load, node capacity, failure mechanism in sub-networks and sub-networks, This paper analyzes the dynamic evolution mechanism of cascade failure under the condition of unspecific interference. By using numerical simulation, it discusses the influence of dependency mode and key parameters on the vulnerability of topological structure and innovation capability, and verifies the result by examples. The results show that there are thresholds for anti-jamming ability of nodes and routines. If the thresholds are less than the threshold value, the cascade collapse will occur in the dependent technological innovation networks. The coupling strength and anti-jamming threshold of the dependent networks are approximately U-shaped with the optimal coupling strength. The symmetric uniform structure of tissue-routine is more robust than the symmetrical non-uniform structure. The heterogenous dependency mode under load can enhance the ability of the dependent technological innovation network to resist the cascade failure. When it is less than the optimal coupling strength, The small failures of stochastic failure and stochastic failure have a devastating effect on the topology and innovation ability. On the contrary, the differences among the three kinds of uncertainties are reduced. The conclusion of the research is of great significance to improve the anti-risk ability of technological innovation network.