Knowledge transmission model with consideration of self-learning mechanism in complex networks

作者：

Highlights：

• We propose a knowledge transmission model in complex networks, with considering the self-learning mechanism.

• We obtain the transmission threshold, which is closely related with the transmission rate and self-learning rate.

• The self-learning mechanism has obvious promoting effect on the knowledge transmission.

• Knowledge transmission is more efficient in the scale-free network.

摘要

•We propose a knowledge transmission model in complex networks, with considering the self-learning mechanism.•We obtain the transmission threshold, which is closely related with the transmission rate and self-learning rate.•The self-learning mechanism has obvious promoting effect on the knowledge transmission.•Knowledge transmission is more efficient in the scale-free network.

论文关键词：Self-learning,Knowledge transmission,Networks,Transmission threshold,Equilibrium

论文评审过程：Received 15 September 2016, Revised 15 December 2016, Accepted 9 January 2017, Available online 10 February 2017, Version of Record 10 February 2017.

论文官网地址：https://doi.org/10.1016/j.amc.2017.01.020