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Structural Effects Of R&d Collaboration Network On Knowledge Diffusion Performance

机译：研发合作网络对知识扩散绩效的结构影响

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摘要

With the advent of knowledge-based economy, the process and structure of knowledge diffusion mechanism in R&D collaboration networks have become more complex and dynamic. However, regardless of the complexity and importance of these R&D collaboration networks, previous empirical analyses have focused mainly on statics, which cannot be a sufficient basis to thoroughly explore knowledge diffusion in the R&D collaboration network. Furthermore, there has been little research done on the relationship between knowledge diffusion and the structure of an R&D collaboration network. Hence, this paper modeled knowledge diffusion based on social network analysis. It also investigated the impact of network structure on the performance of knowledge diffusion, focusing on average knowledge stock and knowledge variance. The results confirm that the small-world network is the most efficient and equitable structure toward effective knowledge diffusion.
机译：随着知识经济的到来，研发协作网络中知识传播机制的过程和结构变得更加复杂和动态。但是，不管这些R＆D协作网络的复杂性和重要性如何，以前的经验分析都主要集中在静态方面，而静态分析并不能作为充分探究R＆D协作网络中知识传播的充分基础。此外，关于知识传播与R＆D协作网络的结构之间的关系的研究很少。因此，本文基于社交网络分析对知识扩散进行建模。它还研究了网络结构对知识传播绩效的影响，重点是平均知识存量和知识方差。结果证实，小世界网络是实现有效知识传播的最有效，最公平的结构。

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