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
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/124016
Ver los metadatos del registro completo
| id |
CONICETDig_d53ed07700d51859f3c9f70354a37699 |
|---|---|
| oai_identifier_str |
oai:ri.conicet.gov.ar:11336/124016 |
| network_acronym_str |
CONICETDig |
| repository_id_str |
3498 |
| network_name_str |
CONICET Digital (CONICET) |
| 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 Técnicas2025-10-15T15:15:55Zoai: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:34982025-10-15 15:15:56.028CONICET 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 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/ |
| dc.format.none.fl_str_mv |
application/pdf 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 |
| _version_ |
1846083307170693120 |
| score |
13.22299 |