Knowledge Diffusion on Networks through theGame Strategy
In this paper,we develop a knowledge diffusion model in which agents determine to give their knowledge to others according to some exchange strategies. The typical network namely small-world network is used for modeling,on which agents with knowledge are viewed as the nodes of the network and the edges are viewed as the social relationships for knowledge transmission.Such agents are permitted to interact with their neighbors repeatedly who have direct connections with them and accordingly change their strategies by choosing the most beneficial neighbors to diffuse knowledge. Two kinds of knowledge transmission strategies are proposed for the theoretical model based on the game theory and thereafter used in different simulations to examine the effect of the network structure on the knowledge diffusion effect.By analyses,two main observations can be found: One is that the simulation results are contrary to our intuition that agents would like to only accept but not share,thus they will maximize their benefit;another one is that the number of agents accepting knowledge and the corresponding knowledge stock turn out to be independent of the percentage of those agents who choose to contribute their knowledge.
Knowledge diffusion Game strategy Network
Shu Sun Jiangning Wu Zhaoguo Xuan
Institute of Systems Engineering,Dalian University of Technology,Dalian 116024,China
国际会议
The Ninth International Workshop on Meta-Synthesis Complez Systems(第九届综合集成与复杂国际研讨会)
成都
英文
105
2009-06-21（万方平台首次上网日期，不代表论文的发表时间）