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

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Abstract

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.

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References

  • Albert R, Barabsi A (2002) Statistical mechanics of complex networks. Revmodphys 74(1):47–97

    MathSciNet  Google Scholar 

  • Buono C, Braunstein LA (2015) Immunization strategy for epidemic spreading on multilayer networks. EPL 109(2):26,001

    Article  Google Scholar 

  • Gu YR (2012) The propagation and inhibition of rumors in online social network. Acta Phys Sin 61(23):514–518

    Google Scholar 

  • Huang J, Jin X (2011) Preventing rumor spreading on small-world networks. J Syst Sci Complex 24(3):449–456

    Article  MathSciNet  Google Scholar 

  • Jo HH, Moon HT, Baek SK (2003) Immunization dynamics on a 2-layer network model. Quant Biol 361(2):534–542

    Google Scholar 

  • Lan YX (2012) Research on network rumor diffusion model and countermeasures in the emergency. Inf Sci 9:1334–1338

    Google Scholar 

  • Li Y (2012) Analysis on topological features of online social networks. Complex Syst Complex Science 9(2):22–37

    Google Scholar 

  • Madar N, Kalisky T, Cohen R, Ben-Avraham D, Havlin S (2004) Immunization and epidemic dynamics in complex networks. Eur Phys J B 38(2):269–276

    Article  Google Scholar 

  • Tian RY, Zhang XF, Liu YJ (2015) Ssic model: a multi-layer model for intervention of online rumors spreading. Phys A Stat Mech Appl 427:181–191

    Article  Google Scholar 

  • Wang G (2011) A study on the government reactions in coping with internet rumors based on cases. J Intell 5(4):335–342

    Google Scholar 

  • Wang X, Li X, Chen G (2006) Complex network theory and application. Tsinghua University Press, Beijing

    Google Scholar 

  • Xiang Z, Chen Y (2016) Dissemination model and impact evaluation of rumor in microblog. Sci Res Manag 37(1):39–47

    Google Scholar 

  • Zhao D, Li L, Peng H, Luo Q, Yang Y (2013) Multiple routes transmitted epidemics on multiplex networks. Phys Lett A 378(10):770–776

    Article  MathSciNet  MATH  Google Scholar 

  • Zhu X, Liu M, Lu J (2016) Research on the mechanism of fake information diffusion on multi-layered network in public crisis. J China Soc Sci Tech Inf 35(3):265–274

    Google Scholar 

Download references

Acknowledgements

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.

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Authors and Affiliations

  1. School of Economics and Management, Yanshan University, Qinhuangdao, China

    Xiaoxia Zhu & Mengmeng Liu

  2. Institute of Systems Engineering, Dalian University of Technology, Dalian, China

    Mengmeng Liu

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  1. Xiaoxia Zhu
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  2. Mengmeng Liu
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Correspondence to Mengmeng Liu.

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The authors declare that they have no conflict of interest.

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Communicated by Y. Ni.

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Zhu, X., Liu, M. Intervention strategies for false information on two-layered networks in public crisis by numerical simulations. Soft Comput 22, 5467–5477 (2018). https://doi.org/10.1007/s00500-018-3134-9

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  • DOI: https://doi.org/10.1007/s00500-018-3134-9

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