Fragmentation transition in a coevolving network with link-state dynamics
- Autores
- Carro, A.; Vazquez, Federico; Toral, R.; San Miguel, M.
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- We study a network model that couples the dynamics of link states with the evolution of the network topology. The state of each link, either A or B, is updated according to the majority rule or zero-temperature Glauber dynamics, in which links adopt the state of the majority of their neighboring links in the network. Additionally, a link that is in a local minority is rewired to a randomly chosen node. While large systems evolving under the majority rule alone always fall into disordered topological traps composed by frustrated links, any amount of rewiring is able to drive the network to complete order, by relinking frustrated links and so releasing the system from traps. However, depending on the relative rate of the majority rule and the rewiring processes, the system evolves towards different ordered absorbing configurations: either a one-component network with all links in the same state or a network fragmented in two components with opposite states. For low rewiring rates and finite-size networks there is a domain of bistability between fragmented and nonfragmented final states. Finite-size scaling indicates that fragmentation is the only possible scenario for large systems and any nonzero rate of rewiring.
Instituto de Física de Líquidos y Sistemas Biológicos - Materia
-
Ciencias Astronómicas
Física
Link states
Galuber dynamics
Topological traps
Fragmentation - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/101379
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Fragmentation transition in a coevolving network with link-state dynamicsCarro, A.Vazquez, FedericoToral, R.San Miguel, M.Ciencias AstronómicasFísicaLink statesGaluber dynamicsTopological trapsFragmentationWe study a network model that couples the dynamics of link states with the evolution of the network topology. The state of each link, either A or B, is updated according to the majority rule or zero-temperature Glauber dynamics, in which links adopt the state of the majority of their neighboring links in the network. Additionally, a link that is in a local minority is rewired to a randomly chosen node. While large systems evolving under the majority rule alone always fall into disordered topological traps composed by frustrated links, any amount of rewiring is able to drive the network to complete order, by relinking frustrated links and so releasing the system from traps. However, depending on the relative rate of the majority rule and the rewiring processes, the system evolves towards different ordered absorbing configurations: either a one-component network with all links in the same state or a network fragmented in two components with opposite states. For low rewiring rates and finite-size networks there is a domain of bistability between fragmented and nonfragmented final states. Finite-size scaling indicates that fragmentation is the only possible scenario for large systems and any nonzero rate of rewiring.Instituto de Física de Líquidos y Sistemas Biológicos2014-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf1-10http://sedici.unlp.edu.ar/handle/10915/101379enginfo:eu-repo/semantics/altIdentifier/url/https://ri.conicet.gov.ar/11336/32345info:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/abstract/10.1103/PhysRevE.89.062802info:eu-repo/semantics/altIdentifier/issn/1539-3755info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.89.062802info:eu-repo/semantics/altIdentifier/hdl/11336/32345info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:00:51Zoai:sedici.unlp.edu.ar:10915/101379Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:00:51.83SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Fragmentation transition in a coevolving network with link-state dynamics |
| title |
Fragmentation transition in a coevolving network with link-state dynamics |
| spellingShingle |
Fragmentation transition in a coevolving network with link-state dynamics Carro, A. Ciencias Astronómicas Física Link states Galuber dynamics Topological traps Fragmentation |
| title_short |
Fragmentation transition in a coevolving network with link-state dynamics |
| title_full |
Fragmentation transition in a coevolving network with link-state dynamics |
| title_fullStr |
Fragmentation transition in a coevolving network with link-state dynamics |
| title_full_unstemmed |
Fragmentation transition in a coevolving network with link-state dynamics |
| title_sort |
Fragmentation transition in a coevolving network with link-state dynamics |
| dc.creator.none.fl_str_mv |
Carro, A. Vazquez, Federico Toral, R. San Miguel, M. |
| author |
Carro, A. |
| author_facet |
Carro, A. Vazquez, Federico Toral, R. San Miguel, M. |
| author_role |
author |
| author2 |
Vazquez, Federico Toral, R. San Miguel, M. |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Ciencias Astronómicas Física Link states Galuber dynamics Topological traps Fragmentation |
| topic |
Ciencias Astronómicas Física Link states Galuber dynamics Topological traps Fragmentation |
| dc.description.none.fl_txt_mv |
We study a network model that couples the dynamics of link states with the evolution of the network topology. The state of each link, either A or B, is updated according to the majority rule or zero-temperature Glauber dynamics, in which links adopt the state of the majority of their neighboring links in the network. Additionally, a link that is in a local minority is rewired to a randomly chosen node. While large systems evolving under the majority rule alone always fall into disordered topological traps composed by frustrated links, any amount of rewiring is able to drive the network to complete order, by relinking frustrated links and so releasing the system from traps. However, depending on the relative rate of the majority rule and the rewiring processes, the system evolves towards different ordered absorbing configurations: either a one-component network with all links in the same state or a network fragmented in two components with opposite states. For low rewiring rates and finite-size networks there is a domain of bistability between fragmented and nonfragmented final states. Finite-size scaling indicates that fragmentation is the only possible scenario for large systems and any nonzero rate of rewiring. Instituto de Física de Líquidos y Sistemas Biológicos |
| description |
We study a network model that couples the dynamics of link states with the evolution of the network topology. The state of each link, either A or B, is updated according to the majority rule or zero-temperature Glauber dynamics, in which links adopt the state of the majority of their neighboring links in the network. Additionally, a link that is in a local minority is rewired to a randomly chosen node. While large systems evolving under the majority rule alone always fall into disordered topological traps composed by frustrated links, any amount of rewiring is able to drive the network to complete order, by relinking frustrated links and so releasing the system from traps. However, depending on the relative rate of the majority rule and the rewiring processes, the system evolves towards different ordered absorbing configurations: either a one-component network with all links in the same state or a network fragmented in two components with opposite states. For low rewiring rates and finite-size networks there is a domain of bistability between fragmented and nonfragmented final states. Finite-size scaling indicates that fragmentation is the only possible scenario for large systems and any nonzero rate of rewiring. |
| publishDate |
2014 |
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2014-04 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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http://sedici.unlp.edu.ar/handle/10915/101379 |
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eng |
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eng |
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