The authors extend the DW opinion dynamics model with adaptive edge weights on networks, prove convergence and effective-graph properties, and simulate that adaptive weights speed convergence on dense networks but slow it on sparse ones for small confidence bounds.
Emergence of echo chambers in a noisy adaptive voter model
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A review synthesizing opinion dynamics research, categorizing models by macroscopic outcomes and microscopic mechanisms while connecting to empirical data and emerging AI tools.
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A Bounded-Confidence Model of Opinion Dynamics with Adaptive Interaction Probabilities
The authors extend the DW opinion dynamics model with adaptive edge weights on networks, prove convergence and effective-graph properties, and simulate that adaptive weights speed convergence on dense networks but slow it on sparse ones for small confidence bounds.
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Opinion dynamics: Statistical physics and beyond
A review synthesizing opinion dynamics research, categorizing models by macroscopic outcomes and microscopic mechanisms while connecting to empirical data and emerging AI tools.