Dinâmica de opiniões extremas em redes com substrato espacial

Abstract

The emergence of internet is the main factor in the propagation of extreme opinions. Denialism, fake news, hate speech and many others are components that became increasingly common in this media, even more with the COVID-19 pandemic outbreak. The present study discuss models of extreme opinions in networks with “small world” characteristics in order to simulate a real network. It was used the model of extreme opinions in which each site receives a random opinion q ϵ [-1,1] and the network has an inflexibility parameter α = 1. Furthermore, the network is built as a square network adding to each site a long-range link with probability p(riv) ~ rijα . Starting from a fraction ƒ0 of sites with positive opinions it was made a dynamic in Monte Carlo steps until the moment of thermalization of the system. Thereby it was noticed that to different values of ƒ0 3 well defined phases arise: in the first, there is a negative consensus; the second is the transition between the consensus with the biggest diversity of opinions; and in the third phase there is a positive consensus. Furthermore, it was noticed that with the increase of α the network became more susceptible to receive positive opinions in the first phase.