Information propagation based on information value

Abstract

On social networks, the spread of a piece of information may attract a lot of people’s attention. Some people who are not interested in the beginning may become interested and start to spread it after repeated contact. Similarly, those who are interested in the beginning tend to disappear after a while. In this study, a propagation model, in which infective’s and removals can transform form each other, is constructed. We introduce the LIF neuron model in neurology and propose a SEIRI information propagation model based on this model. In the process of a piece of information, its information value will change with the range and time of propagation. To reflect the change of the actual value of information in the process of communication, this paper puts forward the influence of the change of information value with time and the range of propagation. The experimental results show that the propagation process can be divided into initial stage, rapid propagation stage, and stable stage. The process of spreading different messages is different, but the overall trend is similar.