Social confinement and mesoscopic localization of epidemics on networks
arXiv:2003.05924 · doi:10.1103/PhysRevLett.126.098301
Abstract
Recommendations around epidemics tend to focus on individual behaviors, with much less efforts attempting to guide event cancellations and other collective behaviors since most models lack the higher-order structure necessary to describe large gatherings. Through a higher-order description of contagions on networks, we model the impact of a blanket cancellation of events larger than a critical size and find that epidemics can suddenly collapse when interventions operate over groups of individuals rather than at the level of individuals. We relate this phenomenon to the onset of mesoscopic localization, where contagions concentrate around dominant groups.
arXiv comment5 pages, 4 figures
References in corpus (11)
- Epidemic processes in complex networks
- Networks beyond pairwise interactions: structure and dynamics
- Simplicial models of social contagion
- Properties of highly clustered networks
- Rare region effects at classical, quantum, and non-equilibrium phase transitions
- All scale-free networks are sparse
- Propagation dynamics on networks featuring complex topologies
- Collective versus hub activation of epidemic phases on networks
- Master equation analysis of mesoscopic localization in contagion dynamics on higher-order networks
- Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm
- Smeared phase transitions in percolation on real complex networks
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- Hypergraph assortativity: a dynamical systems perspective
- Self-initiated behavioural change and disease resurgence on activity-driven networks
- Sideward contact tracing and the control of epidemics in large gatherings
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- Metropolitan-scale COVID-19 outbreaks: how similar are they?
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- Duality between predictability and reconstructability in complex systems
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- Construction of simplicial complexes with prescribed degree-size sequences