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Vector opinion dynamics in a model for social influence

M. F. Laguna·Guillermo Abramson·Damian H. Zanette
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Abstract

We present numerical simulations of a model of social influence, where the opinion of each agent is represented by a binary vector. Agents adjust their opinions as a result of random encounters, whenever the difference between opinions is below a given threshold. Evolution leads to a steady state, which highly depends on the threshold and a convergence parameter of the model. We analyze the transition between clustered and homogeneous steady states. Results of the cases of complete mixing and small-world networks are compared.

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M. F. Laguna, Guillermo Abramson, Damian H. Zanette. 2003-07-24. Vector opinion dynamics in a model for social influence. https://doi.org/10.1016/s0378-4371(03)00628-9

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