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Research On The Evolution Of Technological Knowledge Diffusion In Emerging Industries Based On Complex Network Theory

Posted on:2021-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:Q Y NieFull Text:PDF
GTID:2439330626458773Subject:Technical Economics and Management
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The diffusion of technological knowledge is the core link of the production of technological knowledge in emerging industries.It has played an important role in the transfer and innovation of technological knowledge.Strengthening the diffusion of technological knowledge has become one of the important ways to accelerate the acquisition of forwardlooking technologies by emerging industries in China.At present,less comprehensive consideration is given to the impact of multiple factors on the diffusion of technical knowledge subjects such as enterprises,universities,and research institutions in emerging industries.Most of them are limited to technological innovation capabilities,and less consider the ability to effectively break technical knowledge barriers.In addition,the technological knowledge diffusion network is the foundation and guarantee of technological innovation.There are constraints and risks caused by the emerging nature and uncertainty of the emerging industry,which will cause the nodes to be interrupted and exit the network,which will cause the network to different degrees of damage.The above problems will seriously restrict the long-term development of emerging industries.Theoretical analysis shows that the technology knowledge diffusion network of emerging industries has significant complex network characteristics,exhibits scale-free characteristics and robustness,and is affected by the dual effects of technological innovation and technological proximity.Therefore,studying the evolution mechanism of the technology diffusion network of emerging industries and exploring the dynamic robustness have important practical value for preventing industrial development risks and achieving the orderly production of technology knowledge for emerging industries.This paper clarifies relevant concepts and features of emerging industries,technological knowledge diffusion,and other existing research deficiencies by sorting out relevant domestic and foreign literature.Secondly,the diffusion path of emerging industry technology knowledge is drawn,and based on complex network theory and patent cooperation network theory,a diffusion evolution model is constructed,dynamic robustness is explored,and simulation research is conducted.Then,empirical research is conducted using patented data on driverless technology.Research shows that during the evolution of technology knowledge diffusion networks in emerging industries,there is a growth and merit selection mechanism.Subjects preferentially select nodes with strong technological innovation and good technical proximity to cooperate.Robustness in the face of node natural withdrawal.Based on the above studies,specific countermeasures are proposed from different evolutionary stages.This article explores the dual influence factors of technological knowledge diffusion in emerging industries,which has enriched the research depth of technological knowledge diffusion to a certain extent;the proposed improved scale-free network model fills the research gap and improves the traditional diffusion network evolution model;The dynamic robustness of the technology diffusion network of emerging industries provides a universal framework,and proposes effective countermeasures to effectively prevent internal and external interference.The effectiveness of simulation design is verified by empirical research,and a stable diffusion networks make targeted recommendations.The research process and results of this article provide a certain theoretical reference for emerging industries to break through core technical barriers,enrich the opportunities for technological knowledge diffusion and cooperation,ensure the smooth operation of networks,provide early warning of bottlenecks,and promote the sustainable development of emerging industries.
Keywords/Search Tags:emerging industries, technological knowledge diffusion, complex network, scale-free network, robustness
PDF Full Text Request
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