Fast Distributed Dynamics of Semantic Networks via Social Media

Autores
Carrillo, Facundo; Cecchi, Guillermo Alberto; Sigman, Mariano; Fernandez Slezak, Diego
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We investigate the dynamics of semantic organization using social media, a collective expression of human thought. We propose a novel, time-dependent semantic similarity measure (TSS), based on the social network Twitter. We show that TSS is consistent with static measures of similarity but provides high temporal resolution for the identification of real-world events and induced changes in the distributed structure of semantic relationships across the entire lexicon. Using TSS, we measured the evolution of a concept and its movement along the semantic neighborhood, driven by specific news/events. Finally, we showed that particular events may trigger a temporary reorganization of elements in the semantic network.
Fil: Carrillo, Facundo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cecchi, Guillermo Alberto. Ibm Research. Thomas J. Watson Research Center; Estados Unidos
Fil: Sigman, Mariano. Universidad Torcuato di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernandez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
SOCIAL MEDIA
NETWORK
SPEECH ANALYSIS
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:11336/42724
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Fast Distributed Dynamics of Semantic Networks via Social MediaCarrillo, FacundoCecchi, Guillermo AlbertoSigman, MarianoFernandez Slezak, DiegoSOCIAL MEDIANETWORKSPEECH ANALYSIShttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1We investigate the dynamics of semantic organization using social media, a collective expression of human thought. We propose a novel, time-dependent semantic similarity measure (TSS), based on the social network Twitter. We show that TSS is consistent with static measures of similarity but provides high temporal resolution for the identification of real-world events and induced changes in the distributed structure of semantic relationships across the entire lexicon. Using TSS, we measured the evolution of a concept and its movement along the semantic neighborhood, driven by specific news/events. Finally, we showed that particular events may trigger a temporary reorganization of elements in the semantic network.Fil: Carrillo, Facundo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cecchi, Guillermo Alberto. Ibm Research. Thomas J. Watson Research Center; Estados UnidosFil: Sigman, Mariano. Universidad Torcuato di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fernandez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaHindawi Publishing Corporation2015-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/42724Carrillo, Facundo; Cecchi, Guillermo Alberto; Sigman, Mariano; Fernandez Slezak, Diego; Fast Distributed Dynamics of Semantic Networks via Social Media; Hindawi Publishing Corporation; Computational Intelligence and Neuroscience; 2015; 4-2015; 1-9; 7128351687-52651687-5273CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1155/2015/712835info:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/journals/cin/2015/712835/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:45:32Zoai:ri.conicet.gov.ar:11336/42724instacron: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:34982025-09-29 09:45:32.886CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Fast Distributed Dynamics of Semantic Networks via Social Media
title Fast Distributed Dynamics of Semantic Networks via Social Media
spellingShingle Fast Distributed Dynamics of Semantic Networks via Social Media
Carrillo, Facundo
SOCIAL MEDIA
NETWORK
SPEECH ANALYSIS
title_short Fast Distributed Dynamics of Semantic Networks via Social Media
title_full Fast Distributed Dynamics of Semantic Networks via Social Media
title_fullStr Fast Distributed Dynamics of Semantic Networks via Social Media
title_full_unstemmed Fast Distributed Dynamics of Semantic Networks via Social Media
title_sort Fast Distributed Dynamics of Semantic Networks via Social Media
dc.creator.none.fl_str_mv Carrillo, Facundo
Cecchi, Guillermo Alberto
Sigman, Mariano
Fernandez Slezak, Diego
author Carrillo, Facundo
author_facet Carrillo, Facundo
Cecchi, Guillermo Alberto
Sigman, Mariano
Fernandez Slezak, Diego
author_role author
author2 Cecchi, Guillermo Alberto
Sigman, Mariano
Fernandez Slezak, Diego
author2_role author
author
author
dc.subject.none.fl_str_mv SOCIAL MEDIA
NETWORK
SPEECH ANALYSIS
topic SOCIAL MEDIA
NETWORK
SPEECH ANALYSIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We investigate the dynamics of semantic organization using social media, a collective expression of human thought. We propose a novel, time-dependent semantic similarity measure (TSS), based on the social network Twitter. We show that TSS is consistent with static measures of similarity but provides high temporal resolution for the identification of real-world events and induced changes in the distributed structure of semantic relationships across the entire lexicon. Using TSS, we measured the evolution of a concept and its movement along the semantic neighborhood, driven by specific news/events. Finally, we showed that particular events may trigger a temporary reorganization of elements in the semantic network.
Fil: Carrillo, Facundo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cecchi, Guillermo Alberto. Ibm Research. Thomas J. Watson Research Center; Estados Unidos
Fil: Sigman, Mariano. Universidad Torcuato di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernandez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description We investigate the dynamics of semantic organization using social media, a collective expression of human thought. We propose a novel, time-dependent semantic similarity measure (TSS), based on the social network Twitter. We show that TSS is consistent with static measures of similarity but provides high temporal resolution for the identification of real-world events and induced changes in the distributed structure of semantic relationships across the entire lexicon. Using TSS, we measured the evolution of a concept and its movement along the semantic neighborhood, driven by specific news/events. Finally, we showed that particular events may trigger a temporary reorganization of elements in the semantic network.
publishDate 2015
dc.date.none.fl_str_mv 2015-04
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/11336/42724
Carrillo, Facundo; Cecchi, Guillermo Alberto; Sigman, Mariano; Fernandez Slezak, Diego; Fast Distributed Dynamics of Semantic Networks via Social Media; Hindawi Publishing Corporation; Computational Intelligence and Neuroscience; 2015; 4-2015; 1-9; 712835
1687-5265
1687-5273
CONICET Digital
CONICET
url http://hdl.handle.net/11336/42724
identifier_str_mv Carrillo, Facundo; Cecchi, Guillermo Alberto; Sigman, Mariano; Fernandez Slezak, Diego; Fast Distributed Dynamics of Semantic Networks via Social Media; Hindawi Publishing Corporation; Computational Intelligence and Neuroscience; 2015; 4-2015; 1-9; 712835
1687-5265
1687-5273
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1155/2015/712835
info:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/journals/cin/2015/712835/
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
dc.publisher.none.fl_str_mv Hindawi Publishing Corporation
publisher.none.fl_str_mv Hindawi Publishing Corporation
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
_version_ 1844613427629129728
score 13.070432

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