Tax evasion dynamics and Zaklan model on Opinion-dependent Network

TL;DR

This paper investigates tax evasion dynamics using the Zaklan model on opinion-dependent networks, demonstrating robustness across different dynamics and topologies through agent-based simulations.

Contribution

It extends the Zaklan model analysis by applying the majority-vote model on SHP networks, showing consistency with previous equilibrium Ising model results.

Findings

Zaklan model behavior is consistent across different dynamics.

Robustness of tax evasion patterns on various network topologies.

Majority-vote model effectively simulates non-equilibrium tax evasion dynamics.

Abstract

Within the context of agent-based Monte-Carlo simulations, we study the well-known majority-vote model (MVM) with noise applied to tax evasion on Stauffer-Hohnisch-Pittnauer (SHP) networks. To control the fluctuations for tax evasion in the economics model proposed by Zaklan, MVM is applied in the neighborhood of the critical noise $q_{c}$ to evolve the Zaklan model. The Zaklan model had been studied recently using the equilibrium Ising model. Here we show that the Zaklan model is robust because this can be studied besides using equilibrium dynamics of Ising model also through the nonequilibrium MVM and on various topologies giving the same behavior regardless of dynamic or topology used here.