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| Modeling and Simulation of Knowledge Diffusion in Scientific Collaboration Network Based on a Multi-agent System |
| Guan Peng1,2, Wang Yuefen2, Fu Zhu3 |
1.Institute of Applied Mathematics, Chaohu University, Hefei 238000
2.School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094
3.School of Information Management, Hohai University, Changzhou 213022 |
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Abstract It has been proposed that knowledge diffusion in scientific research cooperation networks is affected mainly by knowledge spillover and knowledge innovation. On the basis of this idea, this paper proposes a knowledge diffusion mechanism. This multi-agent system modeling method is used to build a simulation evolution model of knowledge diffusion in scientific research cooperative networks. Thereafter, the influence of network structures, knowledge overflow effects, and individual knowledge innovation ability on knowledge diffusion is analyzed. Through a comparative analysis of evaluation indexes of the knowledge diffusion effect, the following conclusions are drawn. The topology of scientific research cooperation networks has an impact on the knowledge diffusion effect, and a BA scale-free network structure is superior to other network structures (regular network, small world network, random network). The knowledge spillover effect affects mainly the early stage of knowledge diffusion. With the increase in the knowledge spillover efficiency factor, the average network knowledge stock increases in oscillations, the knowledge diffusion rate increases, and the balance degree of network knowledge stock distribution decreases. Individual knowledge innovation ability affects mainly the later stage of knowledge diffusion. Networks with large individual knowledge innovation ability factors show strong average knowledge stock growth, which also aggravates the unbalanced distribution of knowledge stock among individuals.
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Received: 07 December 2018
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