Discrete-Time Opinion Dynamics

B. Touri, A. Nedic

2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR)(2011)

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摘要
We discuss the Hegselmann-Krause model for opinion dynamics in discrete-time for a symmetric confidence bound. We construct an adjoint dynamics and use it to define a Lyapunov comparison function that decreases along the trajectory of the opinion dynamics. Using the Lyapunov comparison function, we develop a novel upper bound on the convergence time of the dynamics.
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关键词
convergence,upper bound,social sciences,discrete time
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