In the model for continuous opinion dynamics introduced by Hegselmann and Krause, each individual moves to the average opinion of all individuals within an area of confidence. In this work we study the effects of noise in this system. With certain probability, individuals are given the opportunity to change spontaneously their opinion to another one selected randomly inside the opinion space with different rules. If the random jump does not occur, individuals interact through the Hegselmann-Krause's rule. We analyze two cases, one where individuals can carry out opinion random jumps inside the whole opinion space, and other where they are allowed to perform jumps just inside a small interval centered around the current opinion. We found that these opinion random jumps change the model behavior inducing interesting phenomena. Using pattern formation techniques, we obtain approximate analytical results for critical conditions of opinion cluster formation. Finally, we compare the results of this work with the noisy version of the Deffuant et al. model [G. Deffuant, D. Neu, F. Amblard, G. Weisbuch, Adv. Compl. Syst. 3, 87 (2000)] for continuous-opinion dynamics.©EDP Sciences, Societ̀a Italiana di Fisica, Springer-Verlag 2013.

M.P gratefully acknowledge support from USB-DID through the project S1-IN-CB-010-12. This work was supported by FEDER and MINECO (Spain), under projects FISICOS (FIS2007-60327) and INTENSE@COSYP (FIS2012-30634), and by Comunitat Autònoma de les Illes Balears.

arXiv:1309.2858

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