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Journal Article

On Bipartite Consensus of Bounded Confidence Models for Opinion Dynamics

Authors
/persons/resource/guanghe

He,  Guang
Potsdam Institute for Climate Impact Research;

Liu,  Jing
External Organizations;

Wu,  Yanlei
External Organizations;

Fang,  Jian-An
External Organizations;

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Citation

He, G., Liu, J., Wu, Y., Fang, J.-A. (2020): On Bipartite Consensus of Bounded Confidence Models for Opinion Dynamics. - International Journal of Control, Automation and Systems, 18, 2, 303-312.
https://doi.org/10.1007/s12555-019-0138-x


Cite as: https://publications.pik-potsdam.de/pubman/item/item_25203
Abstract
In this paper, the bipartite consensus problem is investigated for bounded confidence (BC) models. Different from the existing results concerning clustering characteristic of BC models, we investigate under which circumstances BC models can achieve bipartite consensus. About the classic BC model, we obtain a sufficient and necessary condition for bipartite consensus problem. For the signed BC model, several bipartite consensus criteria are obtained. The obtained criteria reveal that the dynamic of the signed BC model more dependents on the initial opinions. Finally, several examples are provided to illustrate the effectiveness of the obtained results.