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Partial convergence of heterogeneous Hegselmann-Krause opinion dynamics

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Abstract

In opinion dynamics, the convergence of the heterogeneous Hegselmann-Krause (HK) dynamics has always been an open problem for years which looks forward to any essential progress. In this short note, we prove a partial convergence conclusion of the general heterogeneous HK dynamics. That is, there must be some agents who will reach static states in finite time, while the other opinions have to evolve between them with a minimum distance if all the opinions does not reach consensus. And this result leads to the convergence of several special cases of heterogeneous HK dynamics, including when the minimum confidence bound is large enough, the initial opinion difference is small enough, and so on.

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References

  1. Castellano C, Fortunato S, Loreto V. Statistical physics of social dynamics. Rev Mod Phys, 2009, 81: 591–646

    Article  Google Scholar 

  2. Jia P, MirTabatabaei A, Friedkin N E, et al. Opinion dynamics and the evolution of social power in influence networks. SIAM Rev, 2015, 57: 367–397

    Article  MathSciNet  MATH  Google Scholar 

  3. Oliva G, La Manna D, Fagiolini A, et al. Distributed data clustering via opinion dynamics. Int J Distrib Sensor Netw, 2015, 11: 753102

    Article  Google Scholar 

  4. Krause U. A discrete nonlinear and non-autonomous model of consensus formation. In: Communications in Difference Equations. New York: Gordon and Breach Publisher, 2000. 227–238

    Chapter  Google Scholar 

  5. Hegselmann R, Krause U. Opinion dynamics and bounded confidence models, analysis, and simulation. J Artif Societ Social Simul, 2002, 5: 1–33

    Google Scholar 

  6. Lorenz J. A stabilization theorem for dynamics of continuous opinions. Physica A, 2005, 355: 217–223

    Article  MathSciNet  Google Scholar 

  7. Lorenz J. Continuous opinion dynamics under bounded confidence: A survey. Int J Mod Phys C, 2007, 18: 1819–1838

    Article  MATH  Google Scholar 

  8. Blondel V D, Hendrickx J M, Tsitsiklis J N. On Krause’s multi-agent consensus model with state-dependent connectivity. IEEE T Automat Contr, 2009, 54: 2586–2597

    Article  MathSciNet  MATH  Google Scholar 

  9. Mirtabatabaei A, Bullo F. Opinion dynamics in heterogeneous networks: Convergence conjectures and theorems. SIAM J Control Optim, 2012, 50: 2763–2785

    Article  MathSciNet  MATH  Google Scholar 

  10. Etesami S R, Basar T. Game-theoretic analysis of the hegselmannkrause model for opinion dynamics in finite dimensions. IEEE T Automat Contr, 2015, 60: 1886–1897

    Article  MATH  Google Scholar 

  11. Chazelle B, Wang C. Inertial Hegselmann-Krause systems. IEEE T Automat Contr, 2016, 1–1

    Google Scholar 

  12. Liu K X, Wu L L, Lü J H, et al. Finite-time adaptive consensus of a class of multi-agent systems. Sci China Tech Sci, 2016, 59: 22–32

    Article  Google Scholar 

Download references

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Correspondence to YongGuang Yu.

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Su, W., Gu, Y., Wang, S. et al. Partial convergence of heterogeneous Hegselmann-Krause opinion dynamics. Sci. China Technol. Sci. 60, 1433–1438 (2017). https://doi.org/10.1007/s11431-016-0615-x

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  • DOI: https://doi.org/10.1007/s11431-016-0615-x

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