Beehive scale-free emergent dynamics

Autores
Shpurov, Ivan; Froese, Tom; Chialvo, Dante Renato
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
It has been repeatedly reported that the collective dynamics of social insects exhibit universal emergent properties similar to other complex systems. In this note, we study a previously published data set in which the positions of thousands of honeybees in a hive are individually tracked over multiple days. The results show that the hive dynamics exhibit long-range spatial and temporal correlations in the occupancy density fluctuations, despite the characteristic short-range bees’ mutual interactions. The variations in the occupancy unveil a non-monotonic function between density and bees’ flow, reminiscent of the car traffic dynamic near a jamming transition at which the system performance is optimized to achieve the highest possible throughput. Overall, these results suggest that the beehive collective dynamics are self-adjusted towards a point near its optimal density.
Fil: Shpurov, Ivan. Okinawa Institute Of Science And Technology; Japón
Fil: Froese, Tom. Okinawa Institute Of Science And Technology; Japón
Fil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina
Materia
beehive
complex systems
collective dynamics
critical phenomena
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/258204
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Beehive scale-free emergent dynamicsShpurov, IvanFroese, TomChialvo, Dante Renatobeehivecomplex systemscollective dynamicscritical phenomenahttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1It has been repeatedly reported that the collective dynamics of social insects exhibit universal emergent properties similar to other complex systems. In this note, we study a previously published data set in which the positions of thousands of honeybees in a hive are individually tracked over multiple days. The results show that the hive dynamics exhibit long-range spatial and temporal correlations in the occupancy density fluctuations, despite the characteristic short-range bees’ mutual interactions. The variations in the occupancy unveil a non-monotonic function between density and bees’ flow, reminiscent of the car traffic dynamic near a jamming transition at which the system performance is optimized to achieve the highest possible throughput. Overall, these results suggest that the beehive collective dynamics are self-adjusted towards a point near its optimal density.Fil: Shpurov, Ivan. Okinawa Institute Of Science And Technology; JapónFil: Froese, Tom. Okinawa Institute Of Science And Technology; JapónFil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; ArgentinaNature2024-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/258204Shpurov, Ivan; Froese, Tom; Chialvo, Dante Renato; Beehive scale-free emergent dynamics; Nature; Scientific Reports; 14; 1; 6-2024; 1-82045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-024-64219-winfo:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-024-64219-winfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T09:35:48Zoai:ri.conicet.gov.ar:11336/258204instacron: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:34982025-11-05 09:35:48.569CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Beehive scale-free emergent dynamics
title Beehive scale-free emergent dynamics
spellingShingle Beehive scale-free emergent dynamics
Shpurov, Ivan
beehive
complex systems
collective dynamics
critical phenomena
title_short Beehive scale-free emergent dynamics
title_full Beehive scale-free emergent dynamics
title_fullStr Beehive scale-free emergent dynamics
title_full_unstemmed Beehive scale-free emergent dynamics
title_sort Beehive scale-free emergent dynamics
dc.creator.none.fl_str_mv Shpurov, Ivan
Froese, Tom
Chialvo, Dante Renato
author Shpurov, Ivan
author_facet Shpurov, Ivan
Froese, Tom
Chialvo, Dante Renato
author_role author
author2 Froese, Tom
Chialvo, Dante Renato
author2_role author
author
dc.subject.none.fl_str_mv beehive
complex systems
collective dynamics
critical phenomena
topic beehive
complex systems
collective dynamics
critical phenomena
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv It has been repeatedly reported that the collective dynamics of social insects exhibit universal emergent properties similar to other complex systems. In this note, we study a previously published data set in which the positions of thousands of honeybees in a hive are individually tracked over multiple days. The results show that the hive dynamics exhibit long-range spatial and temporal correlations in the occupancy density fluctuations, despite the characteristic short-range bees’ mutual interactions. The variations in the occupancy unveil a non-monotonic function between density and bees’ flow, reminiscent of the car traffic dynamic near a jamming transition at which the system performance is optimized to achieve the highest possible throughput. Overall, these results suggest that the beehive collective dynamics are self-adjusted towards a point near its optimal density.
Fil: Shpurov, Ivan. Okinawa Institute Of Science And Technology; Japón
Fil: Froese, Tom. Okinawa Institute Of Science And Technology; Japón
Fil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina
description It has been repeatedly reported that the collective dynamics of social insects exhibit universal emergent properties similar to other complex systems. In this note, we study a previously published data set in which the positions of thousands of honeybees in a hive are individually tracked over multiple days. The results show that the hive dynamics exhibit long-range spatial and temporal correlations in the occupancy density fluctuations, despite the characteristic short-range bees’ mutual interactions. The variations in the occupancy unveil a non-monotonic function between density and bees’ flow, reminiscent of the car traffic dynamic near a jamming transition at which the system performance is optimized to achieve the highest possible throughput. Overall, these results suggest that the beehive collective dynamics are self-adjusted towards a point near its optimal density.
publishDate 2024
dc.date.none.fl_str_mv 2024-06
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/11336/258204
Shpurov, Ivan; Froese, Tom; Chialvo, Dante Renato; Beehive scale-free emergent dynamics; Nature; Scientific Reports; 14; 1; 6-2024; 1-8
2045-2322
CONICET Digital
CONICET
url http://hdl.handle.net/11336/258204
identifier_str_mv Shpurov, Ivan; Froese, Tom; Chialvo, Dante Renato; Beehive scale-free emergent dynamics; Nature; Scientific Reports; 14; 1; 6-2024; 1-8
2045-2322
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-024-64219-w
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-024-64219-w
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature
publisher.none.fl_str_mv Nature
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 13.087074

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