Signs of criticality in social explosions

Autores
Beiro, Mariano Gastón; Chung, Ning Ning; Chew, Lock Yue; Gandica, Yérali
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The success of an on-line movement could be defined in terms of the shift to large-scale and the later off-line massive street actions of protests. The role of social media in this process is to facilitate the transformation from small or local feelings of disagreement into large-scale social actions. The way how social media achieves that effect is by growing clusters of people and groups with similar effervescent feelings, which otherwise would not be in touch with each other. It is natural to think that these kinds of macro social actions, as a consequence of the spontaneous and massive interactions, will attain the growth and divergence of those clusters, like the correlation length of statistical physics, giving rise to important simplifications on several statistics. In this work, we report the presence of signs of criticality in social demonstrations. Namely, similar power-law exponents are found whenever the distributions are calculated either considering time windows of the same length or with the same number of hashtag usages. In particular, the exponents for the distributions during the event were found to be smaller than before the event, and this is also observed either if we count the hashtags only once per user or if all their usages are considered. By means of network representations, we show that the systems present two kinds of high connectedness, characterised by either high or low values of modularity. The importance of analysing systems near a critical point is that any small disturbance can escalate and induce large-scale—nationwide—chain reactions.
Fil: Beiro, Mariano Gastón. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Tecnologías y Ciencias de la Ingenieria "Hilario Fernandez Long". Grupo Vinculado al Intecin - Grupo Interdisciplinario en Materiales; Argentina
Fil: Chung, Ning Ning. Nanyang Technological University. Singapore Centre for Environmental Life Sciences Engineering; Singapur
Fil: Chew, Lock Yue. Nanyang Technological University.; Singapur
Fil: Gandica, Yérali. Cergy-paris Universite (cergy-paris Universite); . Centre National de la Recherche Scientifique; Francia
Materia
COMPLEX NETWORKS
CRITICAL PHENOMENA
SOCIAL NETWORKS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/230751

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spelling Signs of criticality in social explosionsBeiro, Mariano GastónChung, Ning NingChew, Lock YueGandica, YéraliCOMPLEX NETWORKSCRITICAL PHENOMENASOCIAL NETWORKShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The success of an on-line movement could be defined in terms of the shift to large-scale and the later off-line massive street actions of protests. The role of social media in this process is to facilitate the transformation from small or local feelings of disagreement into large-scale social actions. The way how social media achieves that effect is by growing clusters of people and groups with similar effervescent feelings, which otherwise would not be in touch with each other. It is natural to think that these kinds of macro social actions, as a consequence of the spontaneous and massive interactions, will attain the growth and divergence of those clusters, like the correlation length of statistical physics, giving rise to important simplifications on several statistics. In this work, we report the presence of signs of criticality in social demonstrations. Namely, similar power-law exponents are found whenever the distributions are calculated either considering time windows of the same length or with the same number of hashtag usages. In particular, the exponents for the distributions during the event were found to be smaller than before the event, and this is also observed either if we count the hashtags only once per user or if all their usages are considered. By means of network representations, we show that the systems present two kinds of high connectedness, characterised by either high or low values of modularity. The importance of analysing systems near a critical point is that any small disturbance can escalate and induce large-scale—nationwide—chain reactions.Fil: Beiro, Mariano Gastón. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Tecnologías y Ciencias de la Ingenieria "Hilario Fernandez Long". Grupo Vinculado al Intecin - Grupo Interdisciplinario en Materiales; ArgentinaFil: Chung, Ning Ning. Nanyang Technological University. Singapore Centre for Environmental Life Sciences Engineering; SingapurFil: Chew, Lock Yue. Nanyang Technological University.; SingapurFil: Gandica, Yérali. Cergy-paris Universite (cergy-paris Universite); . Centre National de la Recherche Scientifique; FranciaSpringer2024-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/230751Beiro, Mariano Gastón; Chung, Ning Ning; Chew, Lock Yue; Gandica, Yérali; Signs of criticality in social explosions; Springer; Scientific Reports; 14; 1; 2-2024; 1-102045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-024-53657-1info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-024-53657-1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:37:53Zoai:ri.conicet.gov.ar:11336/230751instacron: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 14:37:54.298CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Signs of criticality in social explosions
title Signs of criticality in social explosions
spellingShingle Signs of criticality in social explosions
Beiro, Mariano Gastón
COMPLEX NETWORKS
CRITICAL PHENOMENA
SOCIAL NETWORKS
title_short Signs of criticality in social explosions
title_full Signs of criticality in social explosions
title_fullStr Signs of criticality in social explosions
title_full_unstemmed Signs of criticality in social explosions
title_sort Signs of criticality in social explosions
dc.creator.none.fl_str_mv Beiro, Mariano Gastón
Chung, Ning Ning
Chew, Lock Yue
Gandica, Yérali
author Beiro, Mariano Gastón
author_facet Beiro, Mariano Gastón
Chung, Ning Ning
Chew, Lock Yue
Gandica, Yérali
author_role author
author2 Chung, Ning Ning
Chew, Lock Yue
Gandica, Yérali
author2_role author
author
author
dc.subject.none.fl_str_mv COMPLEX NETWORKS
CRITICAL PHENOMENA
SOCIAL NETWORKS
topic COMPLEX NETWORKS
CRITICAL PHENOMENA
SOCIAL NETWORKS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The success of an on-line movement could be defined in terms of the shift to large-scale and the later off-line massive street actions of protests. The role of social media in this process is to facilitate the transformation from small or local feelings of disagreement into large-scale social actions. The way how social media achieves that effect is by growing clusters of people and groups with similar effervescent feelings, which otherwise would not be in touch with each other. It is natural to think that these kinds of macro social actions, as a consequence of the spontaneous and massive interactions, will attain the growth and divergence of those clusters, like the correlation length of statistical physics, giving rise to important simplifications on several statistics. In this work, we report the presence of signs of criticality in social demonstrations. Namely, similar power-law exponents are found whenever the distributions are calculated either considering time windows of the same length or with the same number of hashtag usages. In particular, the exponents for the distributions during the event were found to be smaller than before the event, and this is also observed either if we count the hashtags only once per user or if all their usages are considered. By means of network representations, we show that the systems present two kinds of high connectedness, characterised by either high or low values of modularity. The importance of analysing systems near a critical point is that any small disturbance can escalate and induce large-scale—nationwide—chain reactions.
Fil: Beiro, Mariano Gastón. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Tecnologías y Ciencias de la Ingenieria "Hilario Fernandez Long". Grupo Vinculado al Intecin - Grupo Interdisciplinario en Materiales; Argentina
Fil: Chung, Ning Ning. Nanyang Technological University. Singapore Centre for Environmental Life Sciences Engineering; Singapur
Fil: Chew, Lock Yue. Nanyang Technological University.; Singapur
Fil: Gandica, Yérali. Cergy-paris Universite (cergy-paris Universite); . Centre National de la Recherche Scientifique; Francia
description The success of an on-line movement could be defined in terms of the shift to large-scale and the later off-line massive street actions of protests. The role of social media in this process is to facilitate the transformation from small or local feelings of disagreement into large-scale social actions. The way how social media achieves that effect is by growing clusters of people and groups with similar effervescent feelings, which otherwise would not be in touch with each other. It is natural to think that these kinds of macro social actions, as a consequence of the spontaneous and massive interactions, will attain the growth and divergence of those clusters, like the correlation length of statistical physics, giving rise to important simplifications on several statistics. In this work, we report the presence of signs of criticality in social demonstrations. Namely, similar power-law exponents are found whenever the distributions are calculated either considering time windows of the same length or with the same number of hashtag usages. In particular, the exponents for the distributions during the event were found to be smaller than before the event, and this is also observed either if we count the hashtags only once per user or if all their usages are considered. By means of network representations, we show that the systems present two kinds of high connectedness, characterised by either high or low values of modularity. The importance of analysing systems near a critical point is that any small disturbance can escalate and induce large-scale—nationwide—chain reactions.
publishDate 2024
dc.date.none.fl_str_mv 2024-02
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/11336/230751
Beiro, Mariano Gastón; Chung, Ning Ning; Chew, Lock Yue; Gandica, Yérali; Signs of criticality in social explosions; Springer; Scientific Reports; 14; 1; 2-2024; 1-10
2045-2322
CONICET Digital
CONICET
url http://hdl.handle.net/11336/230751
identifier_str_mv Beiro, Mariano Gastón; Chung, Ning Ning; Chew, Lock Yue; Gandica, Yérali; Signs of criticality in social explosions; Springer; Scientific Reports; 14; 1; 2-2024; 1-10
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/s41598-024-53657-1
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-024-53657-1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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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