Characterizing influential leaders of Ecuador on Twitter using computational intelligence

Johnny Torres, Gabriela Baquerizo, Carmen Vaca, Enrique Peláez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The popularity of social networks, such as Twitter, have provided users around the world the ability to share information, express opinions or sentiments about any topic. Twitter has become the preferred social network platform used by researchers for measuring popularity or influence of users in social networks. This study seeks to extend analysis of influential users in the spatial context of Ecuador, applying computational intelligence techniques in order to identify influential users and for those users calculate its ranking. The results show that a careful selection and normalization of features found in the Twitter user's profile, allows us to detect influential users with high degree of accuracy, and then calculate the ranking only over those users. This approach provide a quicker method compared to previous techniques for determining the ranking by filtering non-influential users.

Idioma originalInglés
Título de la publicación alojada2016 3rd International Conference on eDemocracy and eGovernment, ICEDEG 2016
EditoresAndreas Meier, Luis Teran, Luis Teran
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas159-163
Número de páginas5
ISBN (versión digital)9783907589120
DOI
EstadoPublicada - 27 abr. 2016
Publicado de forma externa
Evento3rd International Conference on eDemocracy and eGovernment, ICEDEG 2016 - Sangolqui, Ecuador
Duración: 30 mar. 20161 abr. 2016

Serie de la publicación

Nombre2016 3rd International Conference on eDemocracy and eGovernment, ICEDEG 2016

Conferencia

Conferencia3rd International Conference on eDemocracy and eGovernment, ICEDEG 2016
País/TerritorioEcuador
CiudadSangolqui
Período30/03/161/04/16

Nota bibliográfica

Publisher Copyright:
© 2016 Information Systems Research Group, University of Fribourg.

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