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R. Hegselmann and U. Krause, “Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation,” Journal of Artificial Societies and Social Simulation, Vol. 5, No. 3, 2002, p. 3.

has been cited by the following article:

• TITLE: Impacts of Opinion Propagation on Social Balance

  AUTHORS: Songlin Zhang, Lixue Chen, Dong Hu, Yuefei Guo

  KEYWORDS: Opinion Diffusion; Relationship Evolution; Social Balance; Complex Network; Coevolution

  JOURNAL NAME: Journal of Modern Physics, Vol.4 No.2, February 27, 2013

  ABSTRACT: In social networks, opinions diffusion often leads to relationships evolution. Then changes of relationships result in the change of balance degree of social system. We simulate the opinion diffusion on Barabasi & Albert (BA) network and Watts & Strogatz (WS) network to study the effects of the two types of networks, dynamical parameters and structural parameters on the balance degree of system. We employ the spectral analysis to quantify the balance degree of system before and after opinion propagation. The result reveals that it is very similar effect of BA networks and WS networks on it. However, it is opposite effects between dynamical parameters and structural parameters. The balance degree of system is proportional to the two dynamical factors (P,Q) at initial state and always inversely proportional to the two structural factors (,Pne) at initial and convergence state.