Intervention strategies for false information on two-layered networks in public crisis by numerical simulations

Recently, public crises caused by rumor and other false information are occupying an increasingly high proportion, so how to control the diffusion of false information and decrease the loss of society has become a vital problem. In order to explore intervention strategies, firstly a two-layered network was generated considering real conditions, and its diffusion threshold is calculated based on previous studies. Then, after dividing intervention conditions into before and after the outbreak, intervention strategies were explored from the aspects of network topology and public management. And the results indicated that before the outbreak, the superposition of networks will add to the difficulty in intervention, while an integrated immunization strategy which takes the topology of multiplex network into consideration works well. After the outbreak, the integrated immunization strategy has a relative worse effect. But releasing correct information could receive a better effect on intervention. Besides, releasing correct information in the online network has better effect on the final results than in the offline network. Also, correct information with high acceptance rate will weaken the influence of degree on intervention, which means that nodes with high or low degree have no significant difference in intervention effect.