The impact of different strategy update mechanisms on information dissemination under hyper network vision

Abstract

Various studies have shown that the strategies employed by individuals play a significant role on information dissemination. This paper establishes a dynamic evolution model (PN-UHTR) that the individual behavior layer is two-way coupled with the information dissemination layer and studies the impact of the update probabilities among DB strategy, IM strategy, and PC strategy. They change the speed of information dissemination by transforming the probability of information selection. Based on the Markov theory, the dynamic evolution law of nodes is analyzed at each time step, and the probability of nodes in the steady-state is derived. In addition, the correctness of the theoretical analysis is verified by the simulation experiment of the hyper network and the changes of information dissemination under different strategy update mechanisms discussed. The results show that different strategies update mechanisms have a certain impact on the spread of information.