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Formation of Opinions under the Influence of Competing Agents — a Mean Field Approach

In: Traffic and Granular Flow ’99

Author

Listed:
  • K. Kacperski

    (Max Planck Institute for Physics of Complex Systems)

  • J. A. Holyst

    (Warsaw University of Technology, Faculty of Physics)

Abstract

We study a model of opinion formation based on the theory of social impact and the concept of cellular automata. The case is considered when two strong agents influence the group: a strong leader and an external social impact acting uniformly on every individual. There are two basic stationary states of the system: cluster of the leader’s adherents and unification of opinions. In the deterministic limit the variation of parameters like the leader’s strength or external impact can change the size of the cluster or, when they reach some critical values, make the system jump to another phase. In the presence of noise (social temperature) the rapid changes can be regarded as the first order phase transitions. When both agents are in a kind of balance, a second order transition and critical behaviour can be observed. Analytical results obtained within a mean field approximation are well reproduced in computer simulations.

Suggested Citation

  • K. Kacperski & J. A. Holyst, 2000. "Formation of Opinions under the Influence of Competing Agents — a Mean Field Approach," Springer Books, in: Dirk Helbing & Hans J. Herrmann & Michael Schreckenberg & Dietrich E. Wolf (ed.), Traffic and Granular Flow ’99, pages 69-80, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-59751-0_6
    DOI: 10.1007/978-3-642-59751-0_6
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