Modeling and simulation of information dissemination model considering user’s awareness behavior in mobile social networks

With the rapid development of mobile sensing devices and Internet technology, any user can publish, comment, or forward information through social platforms. Meanwhile, while speeding up the speed and scope of information dissemination, it is difficult to distinguish the authenticity and reliability of the information. Users’ ability to discriminate information depends on their conscious behavior and knowledge level. According to the level of user awareness, the population can be split into five different states when information is generated. In order to know the evolution trend of information over time, a novel information dissemination model in mobile social networks based on the traditional SIR model is proposed in this work, which can be called SEIRD. From the theoretical point of view, the basic reproduction number R 0 and equilibrium of the proposed model are given. We also analyze the local and global stability of the rumor-free equilibrium. Furthermore, to verify the effectiveness of the proposed model, a series of numerical simulations experiments and results analysis are given. Moreover, the impacts of different parameters of the proposed model are carried out.