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Hydrodynamic Models of Preference Formation in Multi-agent Societies

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Abstract

In this paper, we discuss the passage to hydrodynamic equations for kinetic models of opinion formation. The considered kinetic models feature an opinion density depending on an additional microscopic variable, identified with the personal preference. This variable describes an opinion-driven polarisation process, leading finally to a choice among some possible options, as it happens, e.g. in referendums or elections. Like in the kinetic theory of rarefied gases, the derivation of hydrodynamic equations is based on the computation of the local equilibrium distribution of the opinions from the underlying kinetic model. Several numerical examples validate the resulting model, shedding light on the crucial role played by the distinction between opinion and preference formation on the choice processes in multi-agent societies.

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Notes

  1. In view of the scaling (16), as \(\epsilon \rightarrow 0^+\), the function (13) converges uniformly to \(\sqrt{1-w^2}\), which can therefore be chosen as diffusion coefficient in the Fokker–Planck equation (18) after performing the quasi-invariant limit.

References

  • Albi, G., Pareschi, L., Toscani, G., Zanella, M.: Recent advances in opinion modeling: control and social influence. In: Bellomo, N., Degond, P., Tadmor, E. (eds.) Active Particles Volume 1, Theory, Methods, and Applications, Modeling and Simulation in Science, Engineering and Technology. Birkhäuser, Basel (2016)

    Google Scholar 

  • Albi, G., Pareschi, L., Zanella, M.: Opinion dynamics over complex networks: kinetic modelling and numerical methods. Kinet. Relat. Models 10(1), 1–32 (2017)

    MathSciNet  MATH  Google Scholar 

  • Aletti, G., Naldi, G., Toscani, G.: First-order continuous models of opinion formation. SIAM J. Appl. Math. 67(3), 837–853 (2007)

    MathSciNet  MATH  Google Scholar 

  • Anteneodo, C., Crokidakis, N.: Symmetry breaking by heating in a continuous opinion model. Phys. Rev. E 95(4), 042308 (2017)

    Google Scholar 

  • Ben-Naim, E.: Opinion dynamics: rise and fall of political parties. Europhys. Lett. 69(5), 671–677 (2005)

    Google Scholar 

  • Ben-Naim, E., Krapivsky, P.L., Redner, S.: Bifurcations and patterns in compromise processes. Phys. D 183(3), 190–204 (2003a)

    MathSciNet  MATH  Google Scholar 

  • Ben-Naim, E., Krapivsky, P.L., Vazquez, F., Redner, S.: Unity and discord in opinion dynamics. Phys. A 330(1), 99–106 (2003b)

    MathSciNet  MATH  Google Scholar 

  • Biswas, S.: Mean-field solutions of kinetic-exchange opinion models. Phys. Rev. E 84, 056106 (2011)

    Google Scholar 

  • Boudin, L., Salvarani, F.: A kinetic approach to the study of opinion formation. ESAIM Math. Model. Numer. Anal. 43(3), 507–522 (2009a)

    MathSciNet  MATH  Google Scholar 

  • Boudin, L., Salvarani, F.: The quasi-invariant limit for a kinetic model of sociological collective behavior. Kinet. Relat. Models 2(3), 433–449 (2009b)

    MathSciNet  MATH  Google Scholar 

  • Boudin, L., Mercier, A., Salvarani, F.: Conciliatory and contradictory dynamics in opinion formation. Phys. A 391(22), 5672–5684 (2012)

    Google Scholar 

  • Brugna, C., Toscani, G.: Kinetic models of opinion formation in the presence of personal conviction. Phys. Rev. E 92(5), 052818/1–9D (2015)

    Google Scholar 

  • Canuto, C., Fagnani, F., Tilli, P.: An Eulerian approach to the analysis of Krause’s consensus models. SIAM J. Control Optim. 50(1), 243–265 (2012)

    MathSciNet  MATH  Google Scholar 

  • Carrillo, J.A., Fornasier, M., Rosado, J., Toscani, G.: Asymptotic flocking dynamics for the kinetic Cucker–Smale model. SIAM J. Math. Anal. 42(1), 218–236 (2010)

    MathSciNet  MATH  Google Scholar 

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

    Google Scholar 

  • Ceragioli, F., Frasca, P.: Continuous and discontinuous opinion dynamics with bounded confidence. Nonlinear Anal. Real World Appl. 13(3), 1239–1251 (2012)

    MathSciNet  MATH  Google Scholar 

  • Chatterjee, A.: Socio-economic inequalities: a statistical physics perspective. In: Abergel, F., Aoyama, H., Chakrabarti, B., Chakraborti, A., Ghosh, A. (eds.) Econophysics and Data Driven Modelling of Market Dynamics, New Economic Windows, pp. 287–324. Springer, Berlin (2015)

    Google Scholar 

  • Comincioli, V., Della Croce, L., Toscani, G.: A Boltzmann-like equation for choice formation. Kinet. Relat. Models 2(1), 135–149 (2009)

    MathSciNet  MATH  Google Scholar 

  • Cristiani, E., Tosin, A.: Reducing complexity of multiagent systems with symmetry breaking: an application to opinion dynamics with polls. Multiscale Model. Simul. 16(1), 528–549 (2018)

    MathSciNet  MATH  Google Scholar 

  • Crokidakis, N.: Role of noise and agents’ convictions on opinion spreading in a three-state voter-like model. J. Stat. Mech. Theory Exp. 2013, P07008 (2013)

    Google Scholar 

  • Deffuant, G., Amblard, F., Weisbuch, G., Faure, T.: How can extremism prevail? A study on the relative agreement interaction model. JASSS 5(4) (2002). http://jasss.soc.surrey.ac.uk/5/4/1.html

  • DeGroot, M.H.: Reaching a consensus. J. Am. Stat. Assoc. 69(345), 118–121 (1974)

    MATH  Google Scholar 

  • Dimarco, G., Pareschi, L.: Numerical methods for kinetic equations. Acta Numer. 23, 369–520 (2014)

    MathSciNet  MATH  Google Scholar 

  • Dimarco, G., Loubère, R., Narski, J., Rey, T.: An efficient numerical method for solving the Boltzmann equation in multidimensions. J. Comput. Phys. 353, 46–81 (2018)

    MathSciNet  MATH  Google Scholar 

  • Düring, B., Toscani, G.: Hydrodynamics from kinetic models of conservative economies. Phys. A 384(2), 493–506 (2007)

    Google Scholar 

  • Düring, B., Wolfram, M.-T.: Opinion dynamics: inhomogeneous Boltzmann-type equations modelling opinion leadership and political segregation. Proc. R. Soc. A 471(2182), 20150345/1–21 (2015)

    MathSciNet  MATH  Google Scholar 

  • Düring, B., Markowich, P., Pietschmann, J.-F., Wolfram, M.-T.: Boltzmann and Fokker–Planck equations modelling opinion formation in the presence of strong leaders. Proc. R. Soc. A 465(2112), 3687–3708 (2009)

    MathSciNet  MATH  Google Scholar 

  • French Jr., J.R.P.: A formal theory of social power. Psychol. Rev. 63(3), 181–194 (1956)

    Google Scholar 

  • Galam, S.: Rational group decision making: a random field Ising model at \({T}=0\). Phys. A 238(1), 66–80 (1997)

    MathSciNet  Google Scholar 

  • Galam, S.: Heterogeneous beliefs, segregation, and extremism in the making of public opinions. Phys. Rev. E 71, 046123 (2005)

    Google Scholar 

  • Garavello, M., Natalini, R., Piccoli, B., Terracina, A.: Conservation laws with discontinuous flux. Netw. Heterog. Media 2(1), 159–179 (2007)

    MathSciNet  MATH  Google Scholar 

  • Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence: models, analysis, and simulation. J. Artif. Soc. Soc. Simulat. 5(3), 1–33 (2002)

    Google Scholar 

  • Jabin, P.-E., Motsch, S.: Clustering and asymptotic behavior in opinion formation. J. Differ. Equ. 257(11), 4165–4187 (2014)

    MathSciNet  MATH  Google Scholar 

  • Lallouache, M., Chakrabarti, A.S., Chakraborti, A., Chakrabarti, B.K.: Opinion formation in kinetic exchange models: spontaneous symmetry-breaking transition. Phys. Rev. E 82, 056112 (2010)

    Google Scholar 

  • Lorenz, J.: Continuous opinion dynamics under bounded confidence: a survey. Int. J. Mod. Phys. C 18(12), 1819–1838 (2007)

    MATH  Google Scholar 

  • Martins, A.C.R., Galam, S.: Building up of individual inflexibility in opinion dynamics. Phys. Rev. E 87, 042807 (2013)

    Google Scholar 

  • Motsch, S., Tadmor, E.: Heterophilious dynamics enhances consensus. SIAM Rev. 56(4), 577–621 (2014)

    MathSciNet  MATH  Google Scholar 

  • Ni, W., Cheng, D.: Leader-following consensus of multi-agent systems under fixed and switching topologies. Syst. Control Lett. 59(3–4), 209–217 (2010)

    MathSciNet  MATH  Google Scholar 

  • Pareschi, L., Russo, G.: Time relaxed Monte Carlo methods for the Boltzmann equation. SIAM J. Sci. Comput. 23(4), 1253–1273 (2001)

    MathSciNet  MATH  Google Scholar 

  • Pareschi, L., Toscani, G.: Interacting Multiagent Systems: Kinetic Equations and Monte Carlo Methods. Oxford University Press, Oxford (2013)

    MATH  Google Scholar 

  • Pareschi, L., Zanella, M.: Structure preserving schemes for mean-field equations of collective behavior. In: Westdickenberg, M., Klingenberg, C. (eds.) Theory, Numerics and Applications of Hyperbolic Problems II, HYP 2016, Volume 237 of Springer Proceedings in Mathematics and Statistics, pp. 405–421. Springer, Cham (2018a)

    MATH  Google Scholar 

  • Pareschi, L., Zanella, M.: Structure preserving schemes for nonlinear Fokker–Planck equations and applications. J. Sci. Comput. 74(3), 1575–1600 (2018b)

    MathSciNet  MATH  Google Scholar 

  • Pareschi, L., Vellucci, P., Zanella, M.: Kinetic models of collective decision-making in the presence of equality bias. Phys. A 467, 201–217 (2017)

    MathSciNet  MATH  Google Scholar 

  • Shu, C.-W.: High order weighted essentially nonoscillatory schemes for convection dominated problems. SIAM Rev. 51(1), 82–126 (2009)

    MathSciNet  MATH  Google Scholar 

  • Slanina, F., Lavicka, H.: Analytical results for the Sznajd model of opinion formation. Eur. Phys. J. B 35(2), 279–288 (2003)

    Google Scholar 

  • Stella, L., Bagagiolo, F., Bauso, D., Como, G.: Opinion dynamics and stubbornness through mean-field games. In: 52nd IEEE Conference on Decision and Control, Florence, Italy, pp. 2519–2524 (2013)

  • Sznajd-Weron, K., Sznajd, J.: Opinion evolution in closed community. Int. J. Mod. Phys. C 11(6), 1157–1165 (2000)

    MATH  Google Scholar 

  • Toscani, G.: Kinetic models of opinion formation. Commun. Math. Sci. 4(3), 481–496 (2006)

    MathSciNet  MATH  Google Scholar 

  • Toscani, G., Tosin, A., Zanella, M.: Opinion modeling on social media and marketing aspects. Phys. Rev. E 98(2), 022315/1–15 (2018)

    Google Scholar 

  • Tosin, A., Zanella, M.: Boltzmann-type models with uncertain binary interactions. Commun. Math. Sci. 16(4), 962–984 (2018)

    MathSciNet  MATH  Google Scholar 

  • Villani, C.: On a new class of weak solutions to the spatially homogeneous Boltzmann and Landau equations. Arch. Ration. Mech. Anal. 143(3), 273–307 (1998)

    MathSciNet  MATH  Google Scholar 

  • Watts, D.J., Dodds, P.S.: Influentials, networks, and public opinion formation. J. Consum. Res. 34(4), 441–458 (2007)

    Google Scholar 

  • Weidlich, W.: Sociodynamics: A Systematic Approach to Mathematical Modelling in the Social Sciences. Harwood Academic Publishers, Amsterdam (2000)

    MATH  Google Scholar 

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Acknowledgements

This research was partially supported by the Italian Ministry of Education, University and Research (MIUR) through the “Dipartimenti di Eccellenza” Programme (2018–2022)—Department of Mathematics “F. Casorati”, University of Pavia and Department of Mathematical Sciences “G. L. Lagrange”, Politecnico di Torino (CUP: E11G18000350001) and through the PRIN 2017 Project (No. 2017KKJP4X) “Innovative numerical methods for evolutionary partial differential equations and applications”. This work is also part of the activities of the Starting Grant “Attracting Excellent Professors” funded by “Compagnia di San Paolo” (Torino) and promoted by Politecnico di Torino. L.P. is member of GNCS (Gruppo Nazionale per il Calcolo Scientifico) of INdAM (Istituto Nazionale di Alta Matematica), Italy. G.T, A.T. and M.Z. are members of GNFM (Gruppo Nazionale per la Fisica Matematica) of INdAM, Italy.

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Correspondence to Andrea Tosin.

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Communicated by Dr. Paul Newton.

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Pareschi, L., Toscani, G., Tosin, A. et al. Hydrodynamic Models of Preference Formation in Multi-agent Societies. J Nonlinear Sci 29, 2761–2796 (2019). https://doi.org/10.1007/s00332-019-09558-z

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