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.
Lorenz, A stabilization theorem for dynamics of con- tinuous opinions, Physica A355, 217 (2005)
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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.