Coherence resonance in influencer networks
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2021
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| _version_ | 1866912009135587328 |
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| author | Tönjes, Ralf Fiore, Carlos E. Pereira, Tiago |
| author_facet | Tönjes, Ralf Fiore, Carlos E. Pereira, Tiago |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2102_04368 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Coherence resonance in influencer networks Tönjes, Ralf Fiore, Carlos E. Pereira, Tiago Adaptation and Self-Organizing Systems Disordered Systems and Neural Networks Physics and Society 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. |
| title | Coherence resonance in influencer networks |
| topic | Adaptation and Self-Organizing Systems Disordered Systems and Neural Networks Physics and Society |
| url | https://arxiv.org/abs/2102.04368 |