Simplicially driven simple contagion
Maxime Lucas, Iacopo Iacopini, Thomas Robiglio, Alain Barrat, and Giovanni Petri

TL;DR
This paper introduces a model where a simplicial contagion influences a simple contagion, revealing that strong driving can cause discontinuous transitions and bi-stability, mimicking higher-order contagion effects.
Contribution
It presents a novel driven simple contagion model showing complex phenomena like discontinuous transitions and bi-stability, expanding understanding of contagion dynamics.
Findings
Driven simple contagion exhibits discontinuous phase transitions.
Bi-stability occurs above a critical driving strength.
Mean-field analysis matches Markov-chain simulations.
Abstract
Single contagion processes are known to display a continuous transition from an epidemic-free phase at low contagion rates to the epidemic state for rates above a critical threshold. This transition can become discontinuous when two simple contagion processes are coupled in a bi-directional symmetric way. However, in many cases, the coupling is not symmetric and the processes can be of a different nature. For example, risky social behaviors -- such as not wearing masks or engaging in large gatherings -- can affect the spread of a disease, and their adoption dynamics via social reinforcement mechanisms are better described by complex contagion models, rather than by the simple contagion paradigm, which is more appropriate for disease spreading phenomena. Motivated by this example, we consider a simplicial contagion (describing the adoption of a behavior) that uni-directionally drives a…
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Taxonomy
TopicsCOVID-19 epidemiological studies · Ecosystem dynamics and resilience · Mathematical and Theoretical Epidemiology and Ecology Models
