Complex network structure of flocks in the Vicsek Model with Vectorial Noise

Autores
Baglietto, Gabriel; Albano, Ezequiel Vicente; Candia, Julian Marcelo
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In the Vicsek Model (VM), self-driven individuals try to adopt the direction of movement of their neighbors under the in°uence of noise, thus leading to a noise-driven order–disorder phase transition. By implementing the so-called Vectorial Noise (VN) variant of the VM (i.e. the VMVN model), this phase transition has been shown to be discontinuous (¯rst-order). In this paper, we perform an extensive complex network study of VM-VN °ocks and show that their topology can be described as highly clustered, assortative, and nonhierarchical. We also study the behavior of the VM-VN model in the case of \frozen °ocks" in which, after the °ocks are formed using the full dynamics, particle displacements are suppressed (i.e. only rotations are allowed). Under this kind of restricted dynamics, we show that VM-VN °ocks are unable to support the ordered phase. Therefore, we conclude that the particle displacements at every time-step in the VM-VN dynamics are a key element needed to sustain long-range ordering throughout.
Fil: Baglietto, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad Nacional de La Plata. Facultad de Ingenieria; Argentina
Fil: Albano, Ezequiel Vicente. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Física; Argentina
Fil: Candia, Julian Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. University of Maryland; Estados Unidos
Materia
Self-Propelled Particle Systems
Collective Motion
Complex Networks
Vicsek Model
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/23639
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Complex network structure of flocks in the Vicsek Model with Vectorial NoiseBaglietto, GabrielAlbano, Ezequiel VicenteCandia, Julian MarceloSelf-Propelled Particle SystemsCollective MotionComplex NetworksVicsek Modelhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1In the Vicsek Model (VM), self-driven individuals try to adopt the direction of movement of their neighbors under the in°uence of noise, thus leading to a noise-driven order–disorder phase transition. By implementing the so-called Vectorial Noise (VN) variant of the VM (i.e. the VMVN model), this phase transition has been shown to be discontinuous (¯rst-order). In this paper, we perform an extensive complex network study of VM-VN °ocks and show that their topology can be described as highly clustered, assortative, and nonhierarchical. We also study the behavior of the VM-VN model in the case of \frozen °ocks" in which, after the °ocks are formed using the full dynamics, particle displacements are suppressed (i.e. only rotations are allowed). Under this kind of restricted dynamics, we show that VM-VN °ocks are unable to support the ordered phase. Therefore, we conclude that the particle displacements at every time-step in the VM-VN dynamics are a key element needed to sustain long-range ordering throughout.Fil: Baglietto, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad Nacional de La Plata. Facultad de Ingenieria; ArgentinaFil: Albano, Ezequiel Vicente. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Física; ArgentinaFil: Candia, Julian Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. University of Maryland; Estados UnidosWorld Scientific2013-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/23639Baglietto, Gabriel; Albano, Ezequiel Vicente; Candia, Julian Marcelo; Complex network structure of flocks in the Vicsek Model with Vectorial Noise; World Scientific; International Journal Of Modern Physics C; 25; 3; 9-2013; 1-15; 13500950129-1831CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.worldscientific.com/doi/abs/10.1142/S0129183113500952info:eu-repo/semantics/altIdentifier/doi/10.1142/S0129183113500952info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:28:36Zoai:ri.conicet.gov.ar:11336/23639instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:28:36.518CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Complex network structure of flocks in the Vicsek Model with Vectorial Noise
title Complex network structure of flocks in the Vicsek Model with Vectorial Noise
spellingShingle Complex network structure of flocks in the Vicsek Model with Vectorial Noise
Baglietto, Gabriel
Self-Propelled Particle Systems
Collective Motion
Complex Networks
Vicsek Model
title_short Complex network structure of flocks in the Vicsek Model with Vectorial Noise
title_full Complex network structure of flocks in the Vicsek Model with Vectorial Noise
title_fullStr Complex network structure of flocks in the Vicsek Model with Vectorial Noise
title_full_unstemmed Complex network structure of flocks in the Vicsek Model with Vectorial Noise
title_sort Complex network structure of flocks in the Vicsek Model with Vectorial Noise
dc.creator.none.fl_str_mv Baglietto, Gabriel
Albano, Ezequiel Vicente
Candia, Julian Marcelo
author Baglietto, Gabriel
author_facet Baglietto, Gabriel
Albano, Ezequiel Vicente
Candia, Julian Marcelo
author_role author
author2 Albano, Ezequiel Vicente
Candia, Julian Marcelo
author2_role author
author
dc.subject.none.fl_str_mv Self-Propelled Particle Systems
Collective Motion
Complex Networks
Vicsek Model
topic Self-Propelled Particle Systems
Collective Motion
Complex Networks
Vicsek Model
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In the Vicsek Model (VM), self-driven individuals try to adopt the direction of movement of their neighbors under the in°uence of noise, thus leading to a noise-driven order–disorder phase transition. By implementing the so-called Vectorial Noise (VN) variant of the VM (i.e. the VMVN model), this phase transition has been shown to be discontinuous (¯rst-order). In this paper, we perform an extensive complex network study of VM-VN °ocks and show that their topology can be described as highly clustered, assortative, and nonhierarchical. We also study the behavior of the VM-VN model in the case of \frozen °ocks" in which, after the °ocks are formed using the full dynamics, particle displacements are suppressed (i.e. only rotations are allowed). Under this kind of restricted dynamics, we show that VM-VN °ocks are unable to support the ordered phase. Therefore, we conclude that the particle displacements at every time-step in the VM-VN dynamics are a key element needed to sustain long-range ordering throughout.
Fil: Baglietto, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad Nacional de La Plata. Facultad de Ingenieria; Argentina
Fil: Albano, Ezequiel Vicente. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Física; Argentina
Fil: Candia, Julian Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. University of Maryland; Estados Unidos
description In the Vicsek Model (VM), self-driven individuals try to adopt the direction of movement of their neighbors under the in°uence of noise, thus leading to a noise-driven order–disorder phase transition. By implementing the so-called Vectorial Noise (VN) variant of the VM (i.e. the VMVN model), this phase transition has been shown to be discontinuous (¯rst-order). In this paper, we perform an extensive complex network study of VM-VN °ocks and show that their topology can be described as highly clustered, assortative, and nonhierarchical. We also study the behavior of the VM-VN model in the case of \frozen °ocks" in which, after the °ocks are formed using the full dynamics, particle displacements are suppressed (i.e. only rotations are allowed). Under this kind of restricted dynamics, we show that VM-VN °ocks are unable to support the ordered phase. Therefore, we conclude that the particle displacements at every time-step in the VM-VN dynamics are a key element needed to sustain long-range ordering throughout.
publishDate 2013
dc.date.none.fl_str_mv 2013-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/23639
Baglietto, Gabriel; Albano, Ezequiel Vicente; Candia, Julian Marcelo; Complex network structure of flocks in the Vicsek Model with Vectorial Noise; World Scientific; International Journal Of Modern Physics C; 25; 3; 9-2013; 1-15; 1350095
0129-1831
CONICET Digital
CONICET
url http://hdl.handle.net/11336/23639
identifier_str_mv Baglietto, Gabriel; Albano, Ezequiel Vicente; Candia, Julian Marcelo; Complex network structure of flocks in the Vicsek Model with Vectorial Noise; World Scientific; International Journal Of Modern Physics C; 25; 3; 9-2013; 1-15; 1350095
0129-1831
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.worldscientific.com/doi/abs/10.1142/S0129183113500952
info:eu-repo/semantics/altIdentifier/doi/10.1142/S0129183113500952
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv World Scientific
publisher.none.fl_str_mv World Scientific
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.891075

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