WANG Lin1,2, LIU Danqing2, QIU Guoyong2, WU Zhenqiang1,2*
(1 Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi′an 710062, Shaanxi, China;2 School of Computer Science, Shaanxi Normal University, Xi′an 710119, Shaanxi, China)
Abstract:
A SEIJR model is established which have time-delay,systematic and super transmission mechanism for knowledge spreading on social network, originating from the model of infectious diseases. Analyses are given with the model of the propagation mechanism on the processes of knowledge spreading, based on the growth of knowledge in the features of "deconstruction and construction" and users′ behavioral characteristics, dynamic evolution equations are deduced and the temporal evolution rules of the processes of knowledge spreading are elaborated. The result of simulation shows that the SEIJR presented is capable of describing the processes of knowledge spreading over the SNS.
KeyWords:
social network; knowledge spreading; SEIJR model; dynamic equation
