Detection and Reinforcement of Celiac Communities on Twitter Argentina

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...

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Detalles Bibliográficos
Autores principales: Giordano, Andrés, Banchero, Santiago, Cerny, Natacha, De Marzi, Mauricio, Tolosa, Gabriel Hernán
Formato: Articulo
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Informáticas
Twitter
Community
Celiac disease
Recommendation
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/135039
https://publicaciones.sadio.org.ar/index.php/EJS/article/view/82
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-135039
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Twitter
Community
Celiac disease
Recommendation
spellingShingle Ciencias Informáticas
Twitter
Community
Celiac disease
Recommendation
Giordano, Andrés
Banchero, Santiago
Cerny, Natacha
De Marzi, Mauricio
Tolosa, Gabriel Hernán
Detection and Reinforcement of Celiac Communities on Twitter Argentina
topic_facet Ciencias Informáticas
Twitter
Community
Celiac disease
Recommendation
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.
format Articulo
Articulo
author Giordano, Andrés
Banchero, Santiago
Cerny, Natacha
De Marzi, Mauricio
Tolosa, Gabriel Hernán
author_facet Giordano, Andrés
Banchero, Santiago
Cerny, Natacha
De Marzi, Mauricio
Tolosa, Gabriel Hernán
author_sort Giordano, Andrés
title Detection and Reinforcement of Celiac Communities on Twitter Argentina
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
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/135039
https://publicaciones.sadio.org.ar/index.php/EJS/article/view/82
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AT demarzimauricio detectionandreinforcementofceliaccommunitiesontwitterargentina
AT tolosagabrielhernan detectionandreinforcementofceliaccommunitiesontwitterargentina
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