Analysis of Opinion Spread through Migration and Adoption in Agent Communities

  • Feyza Merve Hafızoğlu
  • Sandip Sen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7455)

Abstract

Agent based simulation can be an important tool for enhancing our understanding of the dynamics of complex systems. This paper studies the migration and behavior adoption patterns of agents in a system of agents situated in geographically distributed communities. We consider two agent types with binary and continuous states. Agents either probabilistically adopt the predominant state in their community or migrate to another community more consistent with their state. This adoption and migration model is specified with few parameters but can support a wide range of interesting behaviors and emergent phenomena. We investigate the conditions for the convergence of communities to different states and the role of migration and adoption on convergence. We experiment with different migration probability distributions and adoption rates and analyze the resulting patterns of population and state distributions.

Keywords

Opinion dynamics Emergence Migration Adoption 

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References

  1. 1.
    Posner, E.: Law and Social Norms. Harvard University Press, Cambridge (2000)Google Scholar
  2. 2.
    Elster, J.: Social norms and economic theory. Journal of Economic Perspectives 3(4), 99–117 (1989)MathSciNetGoogle Scholar
  3. 3.
    Wasserman, S., Faust, K.: Social network analysis: Methods and applications. In: Granovetter, M. (ed.) Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences). Cambridge University Press (1994)Google Scholar
  4. 4.
    Ben-Naim, E., Frachebourg, L., Krapivsky, P.: Coarsening and persistence in the voter model. Physical Review 53(3078) (1996)Google Scholar
  5. 5.
    Krapivsky, P., Redner, S.: Dynamics of majority rule in two-state interacting spin systems. Physical Review Letter 90(23), 238701 (2003)CrossRefGoogle Scholar
  6. 6.
    Mobilia, M., Redner, S.: Majority versus minority dynamics: Phase transition in an interacting two-state spin system. Phys. Rev. E 68, 046106 (2003)CrossRefGoogle Scholar
  7. 7.
    Axelrod, R.: The dissemination of culture: A model with local convergence and global polarization. Journal of Conflict Resolution 41(2), 203 (1997)CrossRefGoogle Scholar
  8. 8.
    Klimek, P., Lambiotte, R., Thurner, S.: Opinion formation in laggard societies. Europhysics Letters 82(2), 1–5 (2008)MathSciNetCrossRefGoogle Scholar
  9. 9.
    Lambiotte, R., Thurner, S., Hanel, R.: Unanimity rule on networks. Phys. Rev. E 76, 046101 (2007)CrossRefGoogle Scholar
  10. 10.
    Pastor-Satorras, R., Vespignani, A.: Epidemic spreading in scale-free networks. Phys. Rev. Lett. 86, 3200 (2001)CrossRefGoogle Scholar
  11. 11.
    Chu, X., Guan, J., Zhang, Z., Zhou, S.: Epidemic spreading in weighted scale-free networks with community structure. J. Stat. Mech., 7043 (2009)Google Scholar
  12. 12.
    Sen, S., Airiau, S.: Emergence of norms through social learning. In: Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, pp. 1507–1512 (2007)Google Scholar
  13. 13.
    Delgado, J., Pujol, J.M., Sangüesa, R.: Emergence of coordination in scale-free networks. Web Intelli. and Agent Sys. 1, 131–138 (2003)Google Scholar
  14. 14.
    Mukherjee, P., Sen, S., Airiau, S.: Norm emergence under constrained interactions in diverse societies. In: Proceedings of the Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 779–786 (2008)Google Scholar
  15. 15.
    Iñiguez, G., Kertész, J., Kaski, K.K., Barrio, R.A.: Opinion and community formation in coevolving networks. Phys. Rev. E 80, 066119 (2009)CrossRefGoogle Scholar
  16. 16.
    Holme, P., Newman, M.E.J.: Nonequilibrium phase transition in the coevolution of networks and opinions. Phys. Rev. E 74, 056108 (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Feyza Merve Hafızoğlu
    • 1
  • Sandip Sen
    • 1
  1. 1.Department of Computer ScienceUniversity of TulsaTulsaUSA

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