Impacts of Opinion Propagation on Social Balance
- 1 School of Computer Science, Southwest Petroleum University, Chengdu, China
- 2 School of Computer Science, Southwest Petroleum University, Chengdu, China
- 3 School of Computer Science, Southwest Petroleum University, Chengdu, China
- 4 Department of Electrical Engineering and Automation, Shanxi Polytechnic College, Taiyuan, China
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 (< k >, P ne ) at initial and convergence state.
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