Observatorio de I+D+i UPM

Descripción
Recent changes in technology are radically changing the communication patterns, and how information reaches the vast majority of the population. Nowadays, Twitter is one of the most popular social media platforms. Following the idea "one must be where people are", politicians are now present in this online social networks. Understanding and exploiting in a more efficient way the available resources for information flow than your opponent can make the difference. In this work, we show, how Twitter allows predict future political events offline, and understanding the processes of diffusion of political information. We introduce a new parameter that measures the ratio of the support in Twitter between two candidates, which we call the Relative Support (RS), to show how it can be used to indicate and quantify which candidate and in which proportion is getting more benefits from events occurring offline. Furthermore we show that it is important to consider Twitter as a multilayer social network defined by the follower, mention and retweet interaction channels. Hence, the Twitter information diffusion process does not take place through a single channel, but three. In order to fully understand the process we have to simultaneously analyze all three channels.
Internacional	Si
Nombre congreso	Net-Works 2015. International Conference on Complex networks and their interdisciplinary applications [http://ergodic.ugr.es/networks2015]
Tipo de participación	960
Lugar del congreso	Granada (Spain)
Revisores	Si
ISBN o ISSN	0000-0000
DOI
Fecha inicio congreso	16/09/2015
Fecha fin congreso	18/09/2015
Desde la página	1
Hasta la página	1
Título de las actas	Actas del congreso

Esta actividad pertenece a memorias de investigación

• Autor: Francisco Javier Borondo Benito (UPM)
• Autor: Alfredo Morales Guzmán (UPM)
• Autor: Rosa Maria Benito Zafrilla (UPM)
• Autor: Juan Carlos Losada Gonzalez (UPM)

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