Opinion formation at Ising social networks

TL;DR

This paper models opinion formation in an Ising social network, revealing a phase transition where influence shifts from elite nodes to the general crowd as influence strength increases.

Contribution

It introduces a novel Ising-based model of opinion dynamics with fixed and non-fixed nodes, demonstrating a phase transition in dominant opinion.

Findings

A phase transition occurs as influence strength increases.

The dominant opinion shifts from elite to crowd influence.

The model captures the impact of fixed influential nodes on overall opinion.

Abstract

We study the process of opinion formation in an Ising social network of scientific collaborations. The network is undirected. An Ising spin is associated with each network node being oriented up (red) or down (blue). Certain nodes carry fixed, opposite opinions whose influence propagates over the other spins, which are flipped according to the majority-influence opinion of neighbors of a given spin during the asynchronous Monte Carlo process. The amplitude influence of each spin is self-consistently adapted, and a flip occurs only if this majority influence exceeds a certain conviction threshold. All non-fixed spins are initially randomly distributed, with half of them oriented up and half down. Such a system can be viewed as a model of elite influence, coming from the fixed spins, on the opinions of the crowd of non-fixed spins. We show that a phase transition occurs as the amplitude influence of the crowd spins increases: the dominant opinion shifts from that of the elite nodes to a phase in which the crowd spins' opinion becomes dominant and the elite can no longer impose their views.