TY  - JOUR
A1  - Tönjes, Ralf
A1  - Fiore, Carlos E.
A1  - Pereira da Silva, Tiago
T1  - Coherence resonance in influencer networks
JF  - Nature Communications
N2  - Complex networks are abundant in nature and many share an important structural property: they contain a few nodes that are abnormally highly connected (hubs). Some of these hubs are called influencers because they couple strongly to the network and play fundamental dynamical and structural roles. Strikingly, despite the abundance of networks with influencers, little is known about their response to stochastic forcing. Here, for oscillatory dynamics on influencer networks, we show that subjecting influencers to an optimal intensity of noise can result in enhanced network synchronization. This new network dynamical effect, which we call coherence resonance in influencer networks, emerges from a synergy between network structure and stochasticity and is highly nonlinear, vanishing when the noise is too weak or too strong. Our results reveal that the influencer backbone can sharply increase the dynamical response in complex systems of coupled oscillators. Influencer networks include a small set of highly-connected nodes and can reach synchrony only via strong node interaction. Tonjes et al. show that introducing an optimal amount of noise enhances synchronization of such networks, which may be relevant for neuroscience or opinion dynamics applications.
Y1  - 2021
U6  - https://doi.org/10.1038/s41467-020-20441-4
SN  - 2041-1723
VL  - 12
IS  - 1
PB  - Nature Publishing Group UK
CY  - London
ER  -