Research On Multilayer Supernetwork Modeling And Co-evolution Of Incubation Network From The Perspective Of Knowledge Transfer

With the development of incubation activities,incubation network with multiple functions such as resource link,resource agglomeration and resource allocation have emerged in different regions.However,individuals involved in incubation activities have not achieved effective synergy development,and knowledge resources have not been effectively transferred.These problems have hindered the improvement and optimization of the incubation environment.The study of issues on clarifying the co-evolutionary mechanism of multilayer incubation network is proposed from the perspective of knowledge transfer.Specifically,the dissertation explores the co-evolution of each subnetwork of the incubating firm network,the incubator?s incubation service network,the collaborative innovation network between incubator-related firms,and the incubators? regional alliance network by building multilayer supernetwork model.Moreover,the dissertation empirically analyzes the co-evolution of the whole incubation network and inter-subnetwork based on T incubator?s supernetwork.The main innovations are as follows.(1)Periodic entry and exit of incubating firms leads to the dynamic evolution of the incubating firm network.The dissertation constructs a two-layer supernetwork model including incubating firm and knowledge,and proposes an algorithm for the hierarchical knowledge network generation of the incubator.Under the condition of bilateral reciprocity of knowledge transfer between incubating firms,the dissertation conducts multi-agent modeling of nonlinear knowledge creation and preferential attachment based on similar knowledge structure.Moreover,the robustness of the incubating firm network is analyzed by measuring the size of the largest connected component and the network?s global efficiency.Different incubating firm networks emerge in different incubators.The damage caused by attacks on the incubating firm network is degree > high knowledge stock > random > low knowledge stock.(2)Considering the effects of the incubator?s diversified knowledge services on the incubating firm?s knowledge growth,the dissertation constructs a three-layer supernetwork model including incubator,incubating firm and knowledge.Based on directed edges between knowledge nodes in the incubator and progressive knowledge requirements of the incubating firm,the dissertation conducts multi-agent modeling of the micro-interaction mechanism of knowledge transfer service,knowledge network service and knowledge combination service.The knowledge emergence of incubating firms under different knowledge service is obtained through simulation.Business incubator can determine optimal strategy based on the investment ratio of knowledge network service to knowledge transfer service to help incubating firms achieve higher knowledge growth rate.(3)Regarding the evolution of cooperative innovation and independent innovation between incubator-related firms under uncertain network environment,the dissertation constructs a two-layer dynamic knowledge supernetwork model,in which the cooperative network continues to evolve and the knowledge network continues to grow.On this basis,the dissertation conducts multi-agent modeling of the knowledge innovation process under limited resources and the different participation degree of the incubator,and uses the power technology patent data to verify the rationality of the model.The network density,network dynamics,and the incubator?s subsidy of effort have a non-linear impact on collaborative innovation.(4)In the study of the restraint mechanism design based on the incubator?s opportunistic behavior of knowledge transfer,the dissertation constructs a spatial public goods game model under the periodic boundary condition,models the joint punishment mechanism based on the evolutionary dynamics of the incubator?s knowledge sharing and cooperative incubation.Through the simulation method,the spatial distribution of incubator?s strategy is analyzed,and the critical value curve of the phase diagram is discussed.Moreover,the stability of alliance network is studied under different public goods return multiplier and cooperative incubation multiplier.It is beneficial to improve the stability of the alliance network when improving incubator?s synergy effect of knowledge sharing and cooperative incubation and establishing a joint punishment mechanism with penalty price below the threshold.