Detection and Reinforcement of Celiac Communities on Twitter Argentina

Autores
Giordano, Andrés; Banchero, Santiago; Cerny, Natacha; De Marzi, Mauricio; Tolosa, Gabriel Hernán
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 as a means to gather support, express ideas and opinions on various topics or interact with users with similar interests. In the latter case, the idea of 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 of Argentina interested in the celiac disease. We apply a series of techniques to detect and characterize them. In addition, we propose and use 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 low percentage of accepted recommendation the network becomes denser and average distance between two users decreases quickly, thus improving the spread of information.
Special Issue dedicated to JAIIO 2018 (Jornadas Argentinas de Informática).
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Twitter
Community
Celiac disease
Recommendation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/135039
Acceder
id SEDICI_fed507150950e2b99f15038b09fe7406
oai_identifier_str oai:sedici.unlp.edu.ar:10915/135039
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Detection and Reinforcement of Celiac Communities on Twitter ArgentinaGiordano, AndrésBanchero, SantiagoCerny, NatachaDe Marzi, MauricioTolosa, Gabriel HernánCiencias InformáticasTwitterCommunityCeliac diseaseRecommendationSocial Networks have shown great growth relating the number of their users and generated content. For example, Twitter is used as a means to gather support, express ideas and opinions on various topics or interact with users with similar interests. In the latter case, the idea of 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 of Argentina interested in the celiac disease. We apply a series of techniques to detect and characterize them. In addition, we propose and use 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 low percentage of accepted recommendation the network becomes denser and average distance between two users decreases quickly, thus improving the spread of information.Special Issue dedicated to JAIIO 2018 (Jornadas Argentinas de Informática).Sociedad Argentina de Informática e Investigación Operativa2019-07-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf2-25http://sedici.unlp.edu.ar/handle/10915/135039enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/82info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:25:51Zoai:sedici.unlp.edu.ar:10915/135039Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:25:51.513SEDICI (UNLP) - Universidad Nacional de La Platafalse
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, Andrés
Ciencias Informáticas
Twitter
Community
Celiac disease
Recommendation
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, Andrés
Banchero, Santiago
Cerny, Natacha
De Marzi, Mauricio
Tolosa, Gabriel Hernán
author Giordano, Andrés
author_facet Giordano, Andrés
Banchero, Santiago
Cerny, Natacha
De Marzi, Mauricio
Tolosa, Gabriel Hernán
author_role author
author2 Banchero, Santiago
Cerny, Natacha
De Marzi, Mauricio
Tolosa, Gabriel Hernán
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Twitter
Community
Celiac disease
Recommendation
topic Ciencias Informáticas
Twitter
Community
Celiac disease
Recommendation
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 as a means to gather support, express ideas and opinions on various topics or interact with users with similar interests. In the latter case, the idea of 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 of Argentina interested in the celiac disease. We apply a series of techniques to detect and characterize them. In addition, we propose and use 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 low percentage of accepted recommendation the network becomes denser and average distance between two users decreases quickly, thus improving the spread of information.
Special Issue dedicated to JAIIO 2018 (Jornadas Argentinas de Informática).
Sociedad Argentina de Informática e Investigación Operativa
description Social Networks have shown great growth relating the number of their users and generated content. For example, Twitter is used as a means to gather support, express ideas and opinions on various topics or interact with users with similar interests. In the latter case, the idea of 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 of Argentina interested in the celiac disease. We apply a series of techniques to detect and characterize them. In addition, we propose and use 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 low percentage of accepted recommendation the network becomes denser and average distance between two users decreases quickly, thus improving the spread of information.
publishDate 2019
dc.date.none.fl_str_mv 2019-07-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/135039
url http://sedici.unlp.edu.ar/handle/10915/135039
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/82
info:eu-repo/semantics/altIdentifier/issn/1514-6774
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
2-25
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1846064309448212480
score 13.22299

Publicaciones similares