Research Knowledge Networks Model of University Based on Complex Dynamic Agent Networks
ZHAO Yeqing
Abstract：Taking knowledge dissemination groups and their complex relationships as the research object,the paper aims to discover the inner rule and restraining factors of the knowledge diffusion in the university knowledge networks evolution systems.Ac-cording to the dynamic complexity of the knowledge diffusion process and initiative,adaptability and personality characteristics of knowledge diffusion agents in university,the small world agent networks model is established to explain the behavior rule of the knowledge diffusion in university by complex adaptability system theory and complex network analysis method.Experimental results show that the are more efficient agents,the knowledge diffusion more smooth is.The higher knowledge propagation is in the early stage,the poorer balance the individual knowledge is in the knowledge networks,and then soon reaches the equilibrium state on a high plane.The result is better for us to efficiently guide the knowledge diffusion and the way for students gaining knowledge,espe-cially provide theoretical and practical guidance for establishing harmonious relationship between students and teachers.
Keywords：agentcomplex networksknowledge networkssmall-world networks
Publication Date：2017-10-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1976-1979,1985 )