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MiS Preprint
112/2013

Opinion evolution on a BA scaling network

Yueying Zhu, Wei Li and Xu Cai

Abstract

In this paper, the dynamics of opinion formation is investigated based on a BA (Barabási–Albert) scale-free network, using a majority–minority rule governed by parameter q. As the value of q is smoothly varied, a phase transition occurs between an ordered phase and a disordered one. By performing extensive Monte Carlo simulations, we show that the phase transition is dependent on the system size, as well as on m, the number of edges added at each time step during the growth of the BA scaling network. Additionally, some theoretical analysis is given based on mean-field theory, by neglecting fluctuations and correlations. It is observed that the theoretical results coincide with results from simulations, especially for very large m.

Received:
Dec 17, 2013
Published:
Dec 17, 2013
Keywords:
Opinion evolution, Mean-field theory, phase transition

Related publications

inJournal
2013 Repository Open Access
Yueying Zhu, Wei Li and Xu Cai

Opinion evolution on a BA scaling network

In: Physica / A, 392 (2013) 24, pp. 6596-6602