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基于风险矩阵和风险来源两个维度识别出R&D网络的不同风险类型.从节点风险负荷、风险阈值和失效节点如何影响邻居节点三个方面入手,构建了R&D网络风险相继传播的动力学模型,并对该理论模型进行了仿真.仿真结果发现风险相继传播过程可在短时间内迅速完成,R&D网络的抗风险能力与各节点企业风险阈值分布的平均程度正相关,而与网络平均度无关,外源性风险比内源性风险对网络的破坏力更大,度大袭击与随机袭击比度小袭击更易于导致网络崩溃.该研究成果对提高R&D网络的抗风险能力、保持其健康持续发展具有重要启示.
The different risk types of R & D network are identified based on two dimensions of risk matrix and risk source.From the three aspects of node risk load, risk threshold and how a failed node affects a neighbor node, a dynamic model of R & D network risk propagation is established The simulation results show that the risk propagation process can be quickly completed in a short period of time. The anti-risk ability of R & D network is positively correlated with the average degree of enterprise risk threshold distribution in each node, but not with the network average degree. Source risk is more destructive to the network than endogenous risk, and the large-scale attack and random attack are more likely to cause the network to collapse than the small-scale attack.The research results are important to improve the anti-risk ability of R & D network and maintain its healthy and sustainable development Inspiration.