An Adaptive Bounded-Confidence Model of Opinion Dynamics on Networks

@article{Kan2021AnAB,
  title={An Adaptive Bounded-Confidence Model of Opinion Dynamics on Networks},
  author={Unchitta Kan and Michelle Feng and M. A. Porter},
  journal={ArXiv},
  year={2021},
  volume={abs/2112.05856}
}
Individuals who interact with each other in social networks often exchange ideas and influence each other's opinions. A popular approach to studying the dynamics of opinion spread on networks is by examining bounded-confidence (BC) models, in which the nodes of a network have continuous-valued states that encode their opinions and are receptive to other opinions if they lie within some confidence bound of their own opinion. We extend the Deffuant--Weisbuch (DW) model, which is a well-known BC… 

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