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Physica. A v.507, 2018년, pp.478 - 488  

Knowledge transmission model with differing initial transmission and retransmission process

Wang, Haiying (School of Economics and Management, Beihang University, Beijing 100191, PR China ) ; Wang, Jun (School of Economics and Management, Beihang University, Beijing 100191, PR China ) ; Small, Michael (School of Mathematics and Statistics, University of Western Australia, Perth, WA 6009, Australia ) ;
  • 초록  

    Abstract Knowledge transmission is a cyclic dynamic diffusion process. The rate of acceptance of knowledge differs upon whether or not the recipient has previously held the knowledge. In this paper, the knowledge transmission process is divided into an initial and a retransmission procedure, each with its own transmission and self-learning parameters. Based on epidemic spreading model, we propose a naive–evangelical–agnostic (VEA) knowledge transmission model and derive mean-field equations to describe the dynamics of knowledge transmission in homogeneous networks. Theoretical analysis identifies a criterion for the persistence of knowledge, i.e., the reproduction number R 0 depends on the minor effective parameters between the initial and retransmission process. Moreover, the final size of evangelical individuals is only related to retransmission process parameters. Numerical simulations validate the theoretical analysis. Furthermore, the simulations indicate that increasing the initial transmission parameters, including first transmission and self-learning rates of naive individuals, can accelerate the velocity of knowledge transmission efficiently but have no effect on the final size of evangelical individuals. In contrast, the retransmission parameters, including retransmission and self-learning rates of agnostic individuals, have a significant effect on the rate of knowledge transmission, i.e., the larger parameters the greater final density of evangelical individuals. Highlights Knowledge transmission process is divided into an initial transmission and retransmission periods. Increasing the parameters of initial transmission process can efficiently accelerate the velocity of knowledge transmission. The larger parameters of retransmission process the greater final density of evangelical individuals.


  • 주제어

    Knowledge transmission .   Learning–forgetting–relearning .   Self-learning .   Homogeneous networks.  

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