Anmerkungen:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 11, 2023 erstellt
Beschreibung:
With the success of general conceptual frameworks of statistical physics, many scholars have tried to apply these concepts to other interdisciplinary fields, such as socio-politics, economics, biology, medicine, and many more. In this work, we study the effect of mass media on opinion evolution based on the nonlinear $q$-voter by mean with probability $p$ a voter adopts the mass media opinion whenever a $q$-sized agent in the population is in unanimous agreement (have the same opinion). We perform analytical and numerical calculations for some quantities of macroscopic parameters of the model such as order parameter (representing an average of public opinion), consensus (relaxation) time, and exit probability, and obtain the agreement results. We find the power-law relations for some quantities of the model. (1) The probability threshold $p_t$, i.e a probability that makes the system reaches a homogeneous state, follows the power-law relation $p_t \sim q^{\gamma}$ with the $q$-sized agent, where $\gamma = -1.00 \pm 0.01$ is the best fitting parameter. The probability threshold $p_t$ also eliminates the standard phase transition of the model. (2) The relaxation or consensus time (which is the time needed by the system to reach consensus) $\tau$ with the population size $N$ is obtained in the form of $\tau \sim N^{\nu}$, where $\nu$ depends on the probability $p$. We also approximate the critical point $r_c$ and the system's scaling parameters by employing the standard finite-size scaling relation. Our results suggest a similar scaling behavior to the voting distribution in the 1998 Brazilian election reported by Costa et al