Behavioral propagation influenced by fluctuating personality on single-layer limited-contact network

In daily life, everyone has some degree of fluctuating personality, which is often manifested when making major decisions. To study the influence of fluctuating personality in behavioral propagation, we build a network model that is distinguished by a single layer and limited contact, and involves individuals with fluctuating personalities. At the same time, the impact of individual limited contact ability and network heterogeneity on information dissemination is studied. Based on this, we analyze the effect of personality fluctuations on the information propagation mechanism in complex networks using the theory of generalized edge partitioning. Finally, the study found a crossover phase transition phenomenon in the propagation process. In this model, as the fluctuation of personality becomes stronger, the final adoption range increases continuously with the increase of the propagation rate. In addition, when the frequency of psychological fluctuations of individuals reaches a certain value, the model's outbreak threshold and the final propagation range tend to be consistent. The outcomes of the theoretical analysis and the findings of the practical simulation accord well.