Non-equilibrium dynamics in a three state opinion formation model with stochastic extreme switches

Abstract

We investigate the non-equilibrium dynamics of a three state kinetic exchange model of opinion formation, where switches between extreme states are possible, depending on the value of a parameter $q$. The mean field dynamical equations are derived and analysed for any $q$. The fate of the system under the evolutionary rules used in \cite{BCS} shows that it is dependent on the value of $q$ and the initial state in general. For $q=1$, which allows the extreme switches maximally, a quasi-conservation in the dynamics is obtained which renders it equivalent to the voter model. For general $q$ values, a "frozen" disordered fixed point is obtained which acts as an attractor for all initially disordered states. For other initial states, the order parameter grows with time $t$ as $\exp [\alpha (q)t]$ where $\alpha =\frac{1-q}{3-q}$ for $q\ne 1$ and follows a power law behaviour for $q=1$. Numerical simulations using a fully connected agent based model provide additional results like the system size dependence of the exit probability and consensus times that further accentuate the different behaviour of the model for $q=1$ and $q\ne 1$. The results are compared with the non-equilibrium phenomena in other well known dynamical systems.

9 pages, 11 figures; new references and text added; some figures changed

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Cited by in corpus (2)

• Virtual walks and phase transitions in two dimensional BChS model with extreme switches
• Opinion formation models with extreme switches and disorder: critical behaviour and dynamics