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Memorias de investigación
Ponencias en congresos:
Opinion Polarization during dichotomous Twitter conversations
Año:2019
Áreas de investigación
  • Física química y matemáticas
Datos
Descripción
Political polarization is a social phenomenon that has several consequences in peoples lives and whose nature is not completely understood. We say that a population is perfectly polarized when divided in two groups of the same size and opposite opinions. In this work, we have studied the polarization phenomena around Twitter conversations concerning different topics with clearly opposed opinions: electoral process with two candidates and social unrest. In each of the conversations, we have found a bipolar opinion distribution and a high value of the polarization index. In particular, we will present results of following Twitter conversations: ? The second round of the 2017 Chilean elections [1], where voters had to choose between the final two candidates. ? The Catalans independence process, where there are two clearly opposed positions (in favor and against independence) To this end, we have built retweet networks and applied the model to estimate opinions proposed in [2], in which a minority of influential individuals propagate their opinions through the social network. The model takes into account two types of users, elites and listeners. In this model elite users have a fixed opinion that remains constant and acts like seeds of influence. In contrast, the opinion of listeners is unknown and will be estimated from their social interactions.
Internacional
Si
Nombre congreso
THE 8TH INTERNATIONAL CONFERENCE ON COMPLEX NETWORKS AND THEIR APPLICATIONS (COMPLEX NETWORKS 2019) [https://www.2019.complexnetworks.org]
Tipo de participación
960
Lugar del congreso
Lisboa (Portugal)
Revisores
Si
ISBN o ISSN
978-2-9557050-3-2
DOI
Fecha inicio congreso
10/12/2019
Fecha fin congreso
12/12/2019
Desde la página
546
Hasta la página
548
Título de las actas
COMPLEX NETWORKS 2019 - BOOK OF ABSTRACT [https://drive.google.com/open?id=1wJ0eCPruTARpvuq48ku9grFcKVcWC3re]
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Juan Carlos Losada Gonzalez (UPM)
  • Autor: Gastón Olivares Fernández (UPM)
  • Autor: Julia Martinez-Atienza Barthelemy (UPM)
  • Autor: Samuel Martin Gutierrez (UPM)
  • Autor: Juan Pablo Cárdenas (Net-Works, Chile)
  • Autor: Javier Borondo (AGrowingData, España)
  • Autor: Rosa Maria Benito Zafrilla (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
  • Departamento: Ingeniería Agroforestal
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