Detection and Reinforcement of Celiac Communities on Twitter Argentina

Autores
Giordano, Luis Andres; Banchero, Santiago; Cerny, Natacha; de Marzi, Mauricio Cesar; Tolosa, Gabriel
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Social Networks have shown great growth relating the number of their users and generated content. For example, Twitter is used asa means to gather support, express ideas and opinions on various topicsor interact with users with similar interests. In the latter case, the ideaof community formation appears, that is, groups of users that are moreclosely related to each other than the rest of the nodes in the network.In this work we propose the detection of the community of users ofArgentina interested in the celiac disease. We apply a series of techniques to detect and characterize them. In addition, we propose anduse a methodology for the detection of more influential and active nodes(users), showing how the community can be reinforced by the recommendation of some particular links. The results show that with only a lowpercentage of accepted recommendation the network becomes denser andaverage distance between two users decreases quickly, thus improving thespread of information.
Fil: Giordano, Luis Andres. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: Banchero, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: Cerny, Natacha. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: de Marzi, Mauricio Cesar. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Tolosa, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Materia
Twitter
community
celiac disease
Detection
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:11336/124016

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spelling Detection and Reinforcement of Celiac Communities on Twitter ArgentinaGiordano, Luis AndresBanchero, SantiagoCerny, Natachade Marzi, Mauricio CesarTolosa, GabrielTwittercommunityceliac diseaseDetectionhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Social Networks have shown great growth relating the number of their users and generated content. For example, Twitter is used asa means to gather support, express ideas and opinions on various topicsor interact with users with similar interests. In the latter case, the ideaof community formation appears, that is, groups of users that are moreclosely related to each other than the rest of the nodes in the network.In this work we propose the detection of the community of users ofArgentina interested in the celiac disease. We apply a series of techniques to detect and characterize them. In addition, we propose anduse a methodology for the detection of more influential and active nodes(users), showing how the community can be reinforced by the recommendation of some particular links. The results show that with only a lowpercentage of accepted recommendation the network becomes denser andaverage distance between two users decreases quickly, thus improving thespread of information.Fil: Giordano, Luis Andres. Universidad Nacional de Luján. Departamento de Ciencias Básicas; ArgentinaFil: Banchero, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; ArgentinaFil: Cerny, Natacha. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; ArgentinaFil: de Marzi, Mauricio Cesar. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Tolosa, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; ArgentinaSociedad Argentina de Informática E Investigación Operativa2019-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/124016Giordano, Luis Andres; Banchero, Santiago; Cerny, Natacha; de Marzi, Mauricio Cesar; Tolosa, Gabriel; Detection and Reinforcement of Celiac Communities on Twitter Argentina; Sociedad Argentina de Informática E Investigación Operativa; SADIO Electronic Journal of Informatic and Operation Research; 18; 3-2019; 2-251514-6774CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sadio.org.ar/wp-content/uploads/2019/04/01-AGRANDA_Giordano.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:18:41Zoai:ri.conicet.gov.ar:11336/124016instacron: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 10:18:41.315CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Detection and Reinforcement of Celiac Communities on Twitter Argentina
title Detection and Reinforcement of Celiac Communities on Twitter Argentina
spellingShingle Detection and Reinforcement of Celiac Communities on Twitter Argentina
Giordano, Luis Andres
Twitter
community
celiac disease
Detection
title_short Detection and Reinforcement of Celiac Communities on Twitter Argentina
title_full Detection and Reinforcement of Celiac Communities on Twitter Argentina
title_fullStr Detection and Reinforcement of Celiac Communities on Twitter Argentina
title_full_unstemmed Detection and Reinforcement of Celiac Communities on Twitter Argentina
title_sort Detection and Reinforcement of Celiac Communities on Twitter Argentina
dc.creator.none.fl_str_mv Giordano, Luis Andres
Banchero, Santiago
Cerny, Natacha
de Marzi, Mauricio Cesar
Tolosa, Gabriel
author Giordano, Luis Andres
author_facet Giordano, Luis Andres
Banchero, Santiago
Cerny, Natacha
de Marzi, Mauricio Cesar
Tolosa, Gabriel
author_role author
author2 Banchero, Santiago
Cerny, Natacha
de Marzi, Mauricio Cesar
Tolosa, Gabriel
author2_role author
author
author
author
dc.subject.none.fl_str_mv Twitter
community
celiac disease
Detection
topic Twitter
community
celiac disease
Detection
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Social Networks have shown great growth relating the number of their users and generated content. For example, Twitter is used asa means to gather support, express ideas and opinions on various topicsor interact with users with similar interests. In the latter case, the ideaof community formation appears, that is, groups of users that are moreclosely related to each other than the rest of the nodes in the network.In this work we propose the detection of the community of users ofArgentina interested in the celiac disease. We apply a series of techniques to detect and characterize them. In addition, we propose anduse a methodology for the detection of more influential and active nodes(users), showing how the community can be reinforced by the recommendation of some particular links. The results show that with only a lowpercentage of accepted recommendation the network becomes denser andaverage distance between two users decreases quickly, thus improving thespread of information.
Fil: Giordano, Luis Andres. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: Banchero, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: Cerny, Natacha. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: de Marzi, Mauricio Cesar. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Tolosa, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
description Social Networks have shown great growth relating the number of their users and generated content. For example, Twitter is used asa means to gather support, express ideas and opinions on various topicsor interact with users with similar interests. In the latter case, the ideaof community formation appears, that is, groups of users that are moreclosely related to each other than the rest of the nodes in the network.In this work we propose the detection of the community of users ofArgentina interested in the celiac disease. We apply a series of techniques to detect and characterize them. In addition, we propose anduse a methodology for the detection of more influential and active nodes(users), showing how the community can be reinforced by the recommendation of some particular links. The results show that with only a lowpercentage of accepted recommendation the network becomes denser andaverage distance between two users decreases quickly, thus improving thespread of information.
publishDate 2019
dc.date.none.fl_str_mv 2019-03
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/11336/124016
Giordano, Luis Andres; Banchero, Santiago; Cerny, Natacha; de Marzi, Mauricio Cesar; Tolosa, Gabriel; Detection and Reinforcement of Celiac Communities on Twitter Argentina; Sociedad Argentina de Informática E Investigación Operativa; SADIO Electronic Journal of Informatic and Operation Research; 18; 3-2019; 2-25
1514-6774
CONICET Digital
CONICET
url http://hdl.handle.net/11336/124016
identifier_str_mv Giordano, Luis Andres; Banchero, Santiago; Cerny, Natacha; de Marzi, Mauricio Cesar; Tolosa, Gabriel; Detection and Reinforcement of Celiac Communities on Twitter Argentina; Sociedad Argentina de Informática E Investigación Operativa; SADIO Electronic Journal of Informatic and Operation Research; 18; 3-2019; 2-25
1514-6774
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.sadio.org.ar/wp-content/uploads/2019/04/01-AGRANDA_Giordano.pdf
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/
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application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Sociedad Argentina de Informática E Investigación Operativa
publisher.none.fl_str_mv Sociedad Argentina de Informática E Investigación Operativa
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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