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A game theory-based network rumor spreading model: based on game experiments

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Abstract

This paper considers the relation between a rumor maker and many disseminators as a game and sets up Explosion-Trust (ET) Game Model. This model regards rumor explosion degree and trust degree of source node as influential factors of rumor making and spreading. The purpose of on both sides of a game is to obtain a maximum benefit. Based on ET model, we make experiments imitating the mode of information dissemination in social networks. We find rumor makers don’t make rumors with quite a high explosion degree because others will doubt the truth of such rumor bringing a low transmission rate. This paper finds an optimal value for rumor spreading by experiments and on what condition trust degree will have an important impact on rumor spreading. Based on experiment results, the authors sum up the universal characteristics of rumors spread widely. Conclusions will be used to detect rumors.

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References

  1. Peterson WA, Gist NP (1951) Rumor and public opinion. Am J Sociol 57(2):160–163

    Article  Google Scholar 

  2. Jiang S (2012) Formation, transmission and public opinion guiding mechanism of network rumors. Chongqing Soc Sci 6:19–20

    Google Scholar 

  3. Fengming Liu L, Wang H, Johnson H, Zhao (2015) Analysis of network trust dynamics based on evolutionary game, Scientia Iranica. Trans E. Indus Eng 22(6):2548–2557

    Google Scholar 

  4. Huo L (2012) False information spreading research after emergencies. Shanghai Jiaotong University, Shanghai

  5. Huo L, Huang P, Guo CX (2012) Analyzing the dynamics of a rumor transmission model with incubation. Discr Dyn Nat Soc 2012:21 (Article ID 328151)

    MathSciNet  MATH  Google Scholar 

  6. Moreno Y, Nekovee M, Pacheco AF (2004) Dynamics of rumor spreading in complex networks. Phys Rev E 69(6):066130

    Article  Google Scholar 

  7. Han S, Zhuang FZ, He Q, Shi Z, Ao X (2014) Energy model for rumor propagation on social networks. Physica A Stat Mech Appl 394(2):99–109

    Article  Google Scholar 

  8. Naimi Y, Naimi M (2013) Reliability and efficiency of generalized rumor spreading model on complex social networks. Commun Theor Phys 07:139–144

    Article  Google Scholar 

  9. Giakkoupis G, Wowlfel P (2011) On the randomness requirements of rumor spreading. Proceedings of the 22nd annual ACM-SIAM symposium on discrete algorithms. Society for Industrial and Applied Mathematics, Philadelphia, pp 449–461

    Google Scholar 

  10. Berenbrink P, Elsässer R, Sauerwald T (2010) Communication complexity of quasirandom rumor spreading. Algorithms—ESA 2010, Berlin, Germany, pp 134–145

  11. Sauerwald T, Stauery A et al (2011) Rumor spreading and vertex expansion on regular graphs. Proceedings of the 22nd ACM-SIAM Symposium. Francisco, Calif, USA, pp 462–475

  12. Isham V, Harden S, Nekovee M (2010) Stochastic epidemics and rumors on finite random networks. Phys A 389(3):561–576

    Article  Google Scholar 

  13. Benjamin D, Mahmoud F, Tobias F (2012) Experimental analysis of rumor spreading in social networks. Design and analysis of algorithms, vol 7659 of Lecture Notes in Computer Science, Berlin, Germsny, pp 159–173

  14. Zhao LJ, Cui HX, Qiu XY, Wang X, Wang J (2013) SIR rumor spreading model in the new media age. Phys A 392(4):995–1003

    Article  MathSciNet  Google Scholar 

  15. Zhao L, Wang J, Huang R (2014) SIRaRu rumor spreading model in complex networks. Phys A 398:43–55

    Article  MathSciNet  MATH  Google Scholar 

  16. Gu J, Li W, Cai X (2008) The effect of the forget-remember mechanism on spreading. Eur Phys J B 62(2):247–255

    Article  Google Scholar 

  17. Zhao L, Xie W, Oliver Gao H, Qiu X, Wang X, Zhang S (2013) A rumor spreading model with variable forgetting rate. Physica A: Stat Mech Appl 392:6146–6154

    Article  Google Scholar 

  18. Zhao LJ, Qiu XY, Wang XL, Wang J (2013) Rumor spreading model considering forgetting and remembering mechanisms in inhomogeneous networks. Phys A 392(4):987–994

    Article  MathSciNet  Google Scholar 

  19. Zhang Y, Xu J, Vecchio A (2015). A rumor spreading model considering the cumulative effects of memory. Discr Dyn Nat Soc 2015:11

    MathSciNet  Google Scholar 

  20. Zhao XX, Wang JZ, Yuan S (2014) Dynamical behaviors of rumor spreading model with control measure. Abstr Appl Anal 2014:11

    MathSciNet  MATH  Google Scholar 

  21. Zhu X, Liu F (2017) Research on behavior model of rumor maker based on system dynamics. Complexity 2017:9. https://doi.org/10.1155/2017/5094218 (Article ID 5094218)

    Google Scholar 

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Correspondence to Fengming Liu.

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Liu, F., Li, M. A game theory-based network rumor spreading model: based on game experiments. Int. J. Mach. Learn. & Cyber. 10, 1449–1457 (2019). https://doi.org/10.1007/s13042-018-0826-5

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  • DOI: https://doi.org/10.1007/s13042-018-0826-5

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