Convergence analysis for asymmetric Deffuant-Weisbuch model

Convergence analysis for asymmetric Deffuant-Weisbuch model

Unsupervised image segmentation using the Deffuant-Weisbuch model from social dynamics

Unsupervised image segmentation algorithms aim at identifying disjoint homogeneous regions in an image, and have been subject to considerable attention in the machine vision community. In this paper, a popular theoretical model with it’s origins in statistical physics and social dynamics, known as the DeffuantWeisbuch model, is applied to the image segmentation problem. The Deffuant-Weisbuch mo...

Extremism without extremists: Deffuant model with emotions

The frequent occurrence of extremist views in many social contexts, often growing from small minorities to almost total majority, poses a significant challenge for democratic societies. The phenomenon can be described within the sociophysical paradigm. We present a modified version of the continuous bounded confidence opinion model, including a simple description of the influence of emotions on...

Continuous Opinion Dynamics: Insights through Interactive Markov Chains

We reformulate the agent-based opinion dynamics models of Weisbuch-Deffuant [1, 2] and Hegselmann-Krause [3] as interactive Markov chains. So we switch the scope from a finite number of n agents to a finite number of n opinion classes. Thus, we will look at an infinite population distributed to opinion classes instead of agents with real number opinions. The interactive Markov chains show simil...

Zaller-Deffuant model of public opinion

Recent formulation of the Zaller model of mass opinion is generalized to include the interaction between agents. The mechanism of interaction is close to the bounded confidence model. The outcome of the simulation is the probability distribution of opinions on a given issue as dependent on the mental capacity of agents. Former result was that small capacity leads to a strong belief into random ...