Noise-Based Control of Opinion Dynamics

Noise-Based Control of Opinion Dynamics
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DOI:
10.1109/tac.2021.3095455
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发表时间:
2018-06
影响因子:
6.8
通讯作者:
Wei Su;Xianzhong Chen;Yongguang Yu;Ge Chen
Wei Su;Xianzhong Chen;Yongguang Yu;Ge Chen
中科院分区:
计算机科学2区
文献类型:
--
作者:
Wei Su;Xianzhong Chen;Yongguang Yu;Ge Chen

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在复杂的社会系统中,为舆论动态设计可行的控制策略从来都不是一件容易的事情。它需要一个控制协议,该协议1)不是对社会中的所有个人强制执行的,2)不完全依赖于社会系统共享的特定意见价值观。由于最近的研究噪音诱导的舆论动力学的共识,基于噪音的干预策略已成为唯一一个满足上述两个要求,但其基础的一般理论仍然缺乏。在这篇文章中,我们进行了严格的理论分析和模拟的意见形成,其中只有一小部分人受到随机产生的噪声的影响基于噪声的控制策略。我们开发了一种新的方法来证明存在一个可行的噪声协议时,它是很难被显式地构造,并证明,无论数量的噪声驱动的个人,包括只有一个单一的噪声影响的个人的情况下,系统可以控制,以实现在有限的时间内的准共识,并可以得到临界噪声强度。我们的研究结果突出了噪声驱动机制控制复杂社会动态的效率。
Designing feasible control strategies for opinion dynamics in complex social systems has never been an easy task. It requires a control protocol, which 1) is not enforced on all individuals in the society, and 2) does not exclusively rely on specific opinion values shared by the social system. Thanks to the recent studies on noise-induced consensus in opinion dynamics, the noise-based intervention strategy has emerged as the only one meeting both of the above requirements, yet its underlying general theory is still lacking. In this article, we perform rigorous theoretical analysis and simulations of a noise-based control strategy for opinion formation, in which only a fraction of individuals is affected by randomly generated noise. We develop a new approach to prove the existence of a feasible noise protocol when it is difficult to be explicitly constructed and prove that irrespective of the number of noise-driven individuals, including the case of only one single noise-affected individual, the system can be controlled to achieve quasi-consensus in finite time, and the critical noise strength can be obtained. Our results highlight the efficiency of noise-driven mechanisms for the control of complex social dynamics.