Skip to main content

2024 | OriginalPaper | Buchkapitel

A Particle Method for Continuous Hegselmann-Krause Opinion Dynamics

verfasst von : Christoph Börgers, Natasa Dragovic, Anna Haensch, Arkadz Kirshtein

Erschienen in: Complex Networks & Their Applications XII

Verlag: Springer Nature Switzerland

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

We derive a differential-integral equation akin to the Hegselmann -Krause model of opinion dynamics [R. Hegselmann and U. Krause, JASSS, vol. 5, 2002], and propose a particle method for solving the equation. Numerical experiments show second-order weak convergence of the method. We also show that our differential-integral equation can equivalently be stated as a system of differential equations. An integration-by-parts argument that would typically yield an energy dissipation inequality in physical problems yields a concentration inequality here, showing that a natural measure of concentration increases monotonically.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Acemoglu, D., Ozdaglar, A.: Opinion dynamics and learning in social networks. Dyn. Games Appl. 1, 3–49 (2011)MathSciNetCrossRef Acemoglu, D., Ozdaglar, A.: Opinion dynamics and learning in social networks. Dyn. Games Appl. 1, 3–49 (2011)MathSciNetCrossRef
2.
Zurück zum Zitat Anderson, B.D.O., Ye, M.: Recent advances in the modelling and analysis of opinion dynamics on influence networks. Int. J. Autom. Comput. 16, 129–149 (2019)CrossRef Anderson, B.D.O., Ye, M.: Recent advances in the modelling and analysis of opinion dynamics on influence networks. Int. J. Autom. Comput. 16, 129–149 (2019)CrossRef
4.
Zurück zum Zitat Ben-Naim, E.: Rise and fall of political parties. Europhys. Lett. 69, 671–677 (2005)CrossRef Ben-Naim, E.: Rise and fall of political parties. Europhys. Lett. 69, 671–677 (2005)CrossRef
5.
Zurück zum Zitat Bisin, A., Verdier, T.: Beyond the melting pot: cultural transmission, marriage, and the evolution of ethnic and religious traits. Q. J. Econ. 115, 955–988 (2000)CrossRef Bisin, A., Verdier, T.: Beyond the melting pot: cultural transmission, marriage, and the evolution of ethnic and religious traits. Q. J. Econ. 115, 955–988 (2000)CrossRef
6.
Zurück zum Zitat Bisin, A., Verdier, T.: The economics of cultural transmission and the dynamics of preferences. J. Econ. Theory 97, 298–319 (2001)MathSciNetCrossRef Bisin, A., Verdier, T.: The economics of cultural transmission and the dynamics of preferences. J. Econ. Theory 97, 298–319 (2001)MathSciNetCrossRef
7.
Zurück zum Zitat Blondel, V.D., Hendrickx, J.M., Tsitsiklis, J.N.: On Krause’s multi-agent consensus model with state-dependent connectivity. IEEE Trans. Autom. Control 54, 2586–2597 (2009)MathSciNetCrossRef Blondel, V.D., Hendrickx, J.M., Tsitsiklis, J.N.: On Krause’s multi-agent consensus model with state-dependent connectivity. IEEE Trans. Autom. Control 54, 2586–2597 (2009)MathSciNetCrossRef
8.
Zurück zum Zitat Börgers, C., Boghosian, B., Dragovic, N., Haensch, A.: The perils of centrism. Preprint accepted by The American Mathematical Monthly (2023) Börgers, C., Boghosian, B., Dragovic, N., Haensch, A.: The perils of centrism. Preprint accepted by The American Mathematical Monthly (2023)
9.
Zurück zum Zitat Boghosian, B., Börgers, C., Boghosian, B., Dragovic, N., Haensch, A., Kirshtein, A.: A particle method for continuous Hegselmann-Krause Opinion Dynamics. arXiv preprint arXiv:2211.06265 (2022) Boghosian, B., Börgers, C., Boghosian, B., Dragovic, N., Haensch, A., Kirshtein, A.: A particle method for continuous Hegselmann-Krause Opinion Dynamics. arXiv preprint arXiv:​2211.​06265 (2022)
10.
11.
Zurück zum Zitat Boyd, R., Richerdson, P.: Culture and The Evolutionary Process. The University of Chicago Press, Chicago (1985) Boyd, R., Richerdson, P.: Culture and The Evolutionary Process. The University of Chicago Press, Chicago (1985)
12.
Zurück zum Zitat Canuto, C., Fagnani, F., Tilli, P.: An Eulerian approach to the analysis of Krause’s consensus models. SIAM J. Control. Optim. 50, 243–265 (2012)MathSciNetCrossRef Canuto, C., Fagnani, F., Tilli, P.: An Eulerian approach to the analysis of Krause’s consensus models. SIAM J. Control. Optim. 50, 243–265 (2012)MathSciNetCrossRef
13.
Zurück zum Zitat Cavalli-Sforza, L., Feldman, M.: Cultural Transmission and Evolution: A Quantitative Approach. Princeton University Press, Princeton (1981) Cavalli-Sforza, L., Feldman, M.: Cultural Transmission and Evolution: A Quantitative Approach. Princeton University Press, Princeton (1981)
15.
Zurück zum Zitat Fortunato, S., Latora, V., Pluchino, A., Rapisarda, A.: Vector opinion dynamics in a bounded confidence consesnus model. Int. J. Modern Phys. C 16, 1535–1551 (2005)CrossRef Fortunato, S., Latora, V., Pluchino, A., Rapisarda, A.: Vector opinion dynamics in a bounded confidence consesnus model. Int. J. Modern Phys. C 16, 1535–1551 (2005)CrossRef
16.
Zurück zum Zitat Goddard, B.D., Gooding, B., Short, H., Pavliotis, G.A.: Noisy bounded confidence models for opinion dynamics: the effect of boundary conditions on phase transitions. IMA J. Appl. Math. 87, 80–110 (2022)MathSciNetCrossRef Goddard, B.D., Gooding, B., Short, H., Pavliotis, G.A.: Noisy bounded confidence models for opinion dynamics: the effect of boundary conditions on phase transitions. IMA J. Appl. Math. 87, 80–110 (2022)MathSciNetCrossRef
18.
Zurück zum Zitat Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence models, analysis, and simulation. JASSS 5(3), 1–2 (2002) Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence models, analysis, and simulation. JASSS 5(3), 1–2 (2002)
19.
Zurück zum Zitat Hegselmann, R., Krause, U.: Opinion dynamics driven by various ways of averaging. Comput. Econ. 25, 381–405 (2005)CrossRef Hegselmann, R., Krause, U.: Opinion dynamics driven by various ways of averaging. Comput. Econ. 25, 381–405 (2005)CrossRef
20.
Zurück zum Zitat Krause, U.: Soziale Dynamiken mit vielen Interakteuren. Eine Problemskizze, Modellierung und Simulation von Dynamiken mit vielen interagierenden Akteuren, 3751(2), 3751–3753 (1997) Krause, U.: Soziale Dynamiken mit vielen Interakteuren. Eine Problemskizze, Modellierung und Simulation von Dynamiken mit vielen interagierenden Akteuren, 3751(2), 3751–3753 (1997)
21.
Zurück zum Zitat Krause, U.: A discrete nonlinear and non-autonomous model of consensus formation. Commun. Differ. Equ. 2000, 227–236 (2000)MathSciNet Krause, U.: A discrete nonlinear and non-autonomous model of consensus formation. Commun. Differ. Equ. 2000, 227–236 (2000)MathSciNet
22.
Zurück zum Zitat Lord, C.G., Ross, L., Lepper, M.R.: Biased assimilation and attitude polarization: the effects of prior theories on subsequently considered evidence. J. Pers. Soc. Psychol. 37, 2098–2109 (1979)CrossRef Lord, C.G., Ross, L., Lepper, M.R.: Biased assimilation and attitude polarization: the effects of prior theories on subsequently considered evidence. J. Pers. Soc. Psychol. 37, 2098–2109 (1979)CrossRef
23.
25.
Zurück zum Zitat Lorenz, J.: Continuous opinion dynamics under bounded confidence: a survey. Int. J. Modern Phys. C 18(12), 1819–1838 (2007)CrossRef Lorenz, J.: Continuous opinion dynamics under bounded confidence: a survey. Int. J. Modern Phys. C 18(12), 1819–1838 (2007)CrossRef
26.
Zurück zum Zitat Mirtabatabaei, A., Bullo, F.: Opinion dynamics in heterogeneous networks: convergence conjectures and theorems. SIAM J. Control Optim. 50(5), 2763–2785 (2012)MathSciNetCrossRef Mirtabatabaei, A., Bullo, F.: Opinion dynamics in heterogeneous networks: convergence conjectures and theorems. SIAM J. Control Optim. 50(5), 2763–2785 (2012)MathSciNetCrossRef
27.
29.
Zurück zum Zitat Piccoli, B., Rossi, F.: Generalized solutions to bounded-confidence models. Math. Models Methods Appl. Sci. 31(06), 1237–1276 (2021)MathSciNetCrossRef Piccoli, B., Rossi, F.: Generalized solutions to bounded-confidence models. Math. Models Methods Appl. Sci. 31(06), 1237–1276 (2021)MathSciNetCrossRef
30.
Zurück zum Zitat Proskurnikov, A.V., Tempo, R.: A tutorial on modeling and analysis of dynamic social networks. Part I. Annu. Rev. Control 43, 65–79 (2017)CrossRef Proskurnikov, A.V., Tempo, R.: A tutorial on modeling and analysis of dynamic social networks. Part I. Annu. Rev. Control 43, 65–79 (2017)CrossRef
31.
Zurück zum Zitat Proskurnikov, A.V., Tempo, R.: A tutorial on modeling and analysis of dynamic social networks. Part II. Annu. Rev. Control 45, 166–190 (2018)MathSciNetCrossRef Proskurnikov, A.V., Tempo, R.: A tutorial on modeling and analysis of dynamic social networks. Part II. Annu. Rev. Control 45, 166–190 (2018)MathSciNetCrossRef
32.
Zurück zum Zitat Urbig, D.: Attitude dynamics with limited verbalisation capabilities. J. Artif. Societies Social Simul. 6(1), 2 (2003) Urbig, D.: Attitude dynamics with limited verbalisation capabilities. J. Artif. Societies Social Simul. 6(1), 2 (2003)
33.
Zurück zum Zitat Wedin, E., Hegarty, P.: The Hegselmann-Krause dynamics for the continuous-agent model and a regular opinion function do not always lead to consensus. IEEE Trans. Autom. Control 60, 2416–2421 (2015)MathSciNetCrossRef Wedin, E., Hegarty, P.: The Hegselmann-Krause dynamics for the continuous-agent model and a regular opinion function do not always lead to consensus. IEEE Trans. Autom. Control 60, 2416–2421 (2015)MathSciNetCrossRef
34.
Zurück zum Zitat Weissbuch, G., Deffuant, G., Amblard, F., Nadal, J.-P.: Meet, discuss, and segregate! Complexity 7, 55–63 (2002)CrossRef Weissbuch, G., Deffuant, G., Amblard, F., Nadal, J.-P.: Meet, discuss, and segregate! Complexity 7, 55–63 (2002)CrossRef
Metadaten
Titel
A Particle Method for Continuous Hegselmann-Krause Opinion Dynamics
verfasst von
Christoph Börgers
Natasa Dragovic
Anna Haensch
Arkadz Kirshtein
Copyright-Jahr
2024
DOI
https://doi.org/10.1007/978-3-031-53499-7_37

Premium Partner