Noise-based control of opinion dynamics
Abstract
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 paper, 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 found that irrespective of the number of noise-driven individuals, including the case of only one single noise-affected individual, the system can attain a 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.
Cite
@article{arxiv.1806.03781,
title = {Noise-based control of opinion dynamics},
author = {Wei Su and Xianzhong Chen and Yongguang Yu and Ge Chen},
journal= {arXiv preprint arXiv:1806.03781},
year = {2019}
}
Comments
arXiv admin note: text overlap with arXiv:1711.01432