Noise-Based Control of Opinion Dynamics

Designing feasible control strategies for opinion dynamics in complex social systems has never been an easy task. It requires a protocol, which 1) is not enforced on all individuals the society, and 2) does exclusively rely specific values shared by system. Thanks to recent studies noise-induced consensus dynamics, noise-based intervention strategy emerged as only one meeting both of above requirements, yet its underlying general theory still lacking. In this article, we perform rigorous theoretical analysis simulations formation, fraction affected randomly generated noise. We develop new approach prove existence noise protocol when it difficult be explicitly constructed that irrespective number noise-driven individuals, including case single noise-affected individual, system can controlled achieve quasi-consensus finite time, critical strength obtained. Our results highlight efficiency mechanisms dynamics.