Modeling and simulation of the knowledge increase process in the technology innovation network

Yu Xianyun; Zeng Deming; Chen Yanli; Wen Jinyan

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Science Research Management ›› 2013, Vol. 34 ›› Issue (10) : 35-41.

Modeling and simulation of the knowledge increase process in the technology innovation network

Yu Xianyun¹, Zeng Deming¹, Chen Yanli², Wen Jinyan¹

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Abstract

Based on the current studies at home and abroad in technology innovation networks, this paper examines the influence of technical innovation network density on network knowledge increase from the aspects of knowledge diffusion and knowledge innovation, and put forward a hypothesis that the network density has an inverted U-shaped relationship with knowledge increase. In order to test this hypothesis, a Multi-agent model was established, which demonstrates the process of knowledge increase in innovation network, and the NetLogo simulation platform was adopted to test the hypothesis. The results indicate that the effect of network density has the feature of duality. In other word, the network density will be disadvantageous to the knowledge increase of the innovation network when it is too high or too low. In the meantime, these results show that the inhibition of knowledge diffusion, which will then impede knowledge innovation, will appear when network density is too high and continue to increase.

Key words

network density / knowledge increase / knowledge diffusion / knowledge innovation / agent-based model and simulation

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Yu Xianyun, Zeng Deming, Chen Yanli, Wen Jinyan. Modeling and simulation of the knowledge increase process in the technology innovation network[J]. Science Research Management. 2013, 34(10): 35-41

References

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