Epidemic Transmission Modelling on the Birth-death Evolving Network with Indirect Contacts
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866915933675585536 |
|---|---|
| author | Feng, Minyu Li, Yuhan Kurths, Jürgen |
| author_facet | Feng, Minyu Li, Yuhan Kurths, Jürgen |
| contents | Epidemic modelling on complex networks has been studied intensively all the time. The majority of relative research assumes that the time scale of the underlying network evolution is much larger compared to the propagation dynamics on it, while the co-evolution of epidemics and networks needs exploring further. In this paper, we investigate how our recently proposed birth-death evolving network impacts the Susceptible-Infected-Recovered-Susceptible (SIRS) epidemic process. Our evolving network considers the increase and the heritable deletion of nodes, which enables to depicting individual behaviors during an epidemic, e.g., population migration and indirect contacts. To model the above processes, we construct a Markovian queueing network and perform analyses for the variation of population size of different epidemic states. In simulations, we reveal how the population migration and indirect contacts caused by our network dynamic properties influence the population sizes of each epidemic state, and find that newly-created indirect contacts facilitate epidemic transmission. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_10742 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Epidemic Transmission Modelling on the Birth-death Evolving Network with Indirect Contacts Feng, Minyu Li, Yuhan Kurths, Jürgen Physics and Society Dynamical Systems Adaptation and Self-Organizing Systems Epidemic modelling on complex networks has been studied intensively all the time. The majority of relative research assumes that the time scale of the underlying network evolution is much larger compared to the propagation dynamics on it, while the co-evolution of epidemics and networks needs exploring further. In this paper, we investigate how our recently proposed birth-death evolving network impacts the Susceptible-Infected-Recovered-Susceptible (SIRS) epidemic process. Our evolving network considers the increase and the heritable deletion of nodes, which enables to depicting individual behaviors during an epidemic, e.g., population migration and indirect contacts. To model the above processes, we construct a Markovian queueing network and perform analyses for the variation of population size of different epidemic states. In simulations, we reveal how the population migration and indirect contacts caused by our network dynamic properties influence the population sizes of each epidemic state, and find that newly-created indirect contacts facilitate epidemic transmission. |
| title | Epidemic Transmission Modelling on the Birth-death Evolving Network with Indirect Contacts |
| topic | Physics and Society Dynamical Systems Adaptation and Self-Organizing Systems |
| url | https://arxiv.org/abs/2604.10742 |