Changing Opinions in a Changing World: a New Perspective in Sociophysics
A. Pluchino, V. Latora, A. Rapisarda

TL;DR
This paper introduces the Opinion Changing Rate (OCR) model, inspired by the Kuramoto synchronization model, to study how agents with different natural change tendencies reach agreement in social opinion dynamics.
Contribution
It presents a novel adaptation of the Kuramoto model for social opinion formation, focusing on agents' natural change rates rather than consensus conditions.
Findings
OCR model exhibits diverse dynamic behaviors
Agents with different change rates can achieve agreement under certain conditions
Numerical simulations reveal social implications of opinion dynamics
Abstract
We propose a new model of opinion formation, the Opinion Changing Rate (OCR) model. Instead of investigating the conditions that allow consensus in a world of agents with different opinions, we study under which conditions a group of agents with a different natural tendency (rate) to change opinion can find agreement. The OCR is a modified version of the Kuramoto model, one of the simplest models for synchronization in biological systems, here adapted to a social context. By means of several numerical simulations we illustrate the richness of the OCR model dynamics and its social implications.
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Opinion Dynamics and Social Influence · Evolutionary Game Theory and Cooperation
