A Dynamic Information Dissemination Model Based on User Awareness and Evolutionary Games

Abstract

In online social networks, users’ awareness of a topic and their personal consciousness can significantly influence the dissemination of information on that topic. Traditional information dissemination research has mainly introduced user awareness as a single factor and has failed to fully consider the impact between users with different awareness. By considering the differences in user awareness and their impact, we proposed a multiple layer spatial information dissemination model based on user awareness. First, for the multidimensional nature of the communication space, we consider differences in users’ cognitive level into consideration, and by setting the corresponding threshold, the users who participate in topic dissemination are divided into two states of high awareness and low awareness. By constructing different communication networks, we depict the propagation dynamics of information at different levels of awareness and introduce an evolutionary game mechanism to analyze the influence between users at different levels of awareness networks. Second, during information dissemination, isolating transmission sources can provide effective control over the spread of information. Based on the susceptible-infectious-recovery (SIR) model in infectious disease dynamics, we consider that susceptible users have a certain chance of being isolated, so we abstract the isolated user group as an independent state Q (quarantine) and introduce it into the traditional SIR model to construct an SQIR information dissemination model. Finally, considering the influence between the information disseminated by high awareness users and low awareness users and the differences in users’ communication behavior at different periods, a dynamic information dissemination model based on user awareness and evolutionary game is obtained through a time-slicing process to dynamically explore the dynamics of information dissemination. The experiments showed that the proposed model could effectively reveal the influence of different levels of awareness on the dynamic information dissemination trend.