Observatorio de I+D+i UPM

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

• 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)

• Creador: Grupo de Investigación: Grupo de Sistemas Complejos
• Departamento: Ingeniería Agroforestal