The distinct roles of initial transmission and retransmission in the persistence of knowledge in complex networks
作者：
Highlights：
• Two Markov chain methods are extended to knowledge transmission in complex networks.
• Transmission model incorporates difference between initial learning and re-learning.
• Rigorous bounds provided for the basic reproduction number R0.
• Parameters of both initial transmission and retransmission process affect R0.
• Retransmission process determines the steady state evangelical density.
摘要
•Two Markov chain methods are extended to knowledge transmission in complex networks.•Transmission model incorporates difference between initial learning and re-learning.•Rigorous bounds provided for the basic reproduction number R0.•Parameters of both initial transmission and retransmission process affect R0.•Retransmission process determines the steady state evangelical density.
论文关键词：Knowledge transmission,Complex networks,Retransmission process,Markov chain
论文评审过程：Received 12 June 2020, Revised 18 September 2020, Accepted 3 October 2020, Available online 20 October 2020, Version of Record 20 October 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125730
