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 the conditions under which a group of agents with 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, adapted here 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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Pluchino et al. (2005) studied this question.
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