Soft Computing

, Volume 22, Issue 16, pp 5467–5477 | Cite as

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

  • Xiaoxia Zhu
  • Mengmeng LiuEmail author


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.


Public crisis Two-layered networks False information Intervention strategies Numerical simulation 



The authors would like to thank the support of the National Natural Science Foundation of China (71301140), Hebei Natural Science Fund (G2015203425) and the Program for Youth Talents by Department of Education in Hebei Province (BJ2017078). The authors are also thankful for the support by the Program for Talents of Third Level and Program for Youth Talents in Hebei Province.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Economics and ManagementYanshan UniversityQinhuangdaoChina
  2. 2.Institute of Systems EngineeringDalian University of TechnologyDalianChina

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