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Evolution of Bounded Confidence Opinion in Social Networks
2017
Discrete Dynamics in Nature and Society
We investigate opinion dynamics as a stochastic process in social networks. We introduce the stubborn agent in order to determine the impact of network structure on the emergence of consensus. Depending on the fraction of undirected long-range connections, we observe fascinatingly rich dynamical behavior and transitions from disordered to ordered states. In general, we find that the stubborn agent promotes the emergence of consensus due to the so-called "group effect" that facilitates
doi:10.1155/2017/3173016
fatcat:sbuj7u3dpjhcpawactysaxrs2y