Observatorio de I+D+i UPM

Descripción
The large amount of user generated data that Online Social Networks produce has remarkably drawn the attention for researchers on human behavior in the recent years. In this work, we use temporal series and complex network analysis to unveil the users? behavioral patterns during the Spanish presidential electoral campaigns in Twitter. We introduce a new measure to study political sentiment in Twitter, which we call the relative support. We have also characterized user behavior by analyzing the structural and dynamical patterns of the complex networks emergent from the mention and retweet networks. Our results suggest that the collective attention is driven by a very small fraction of users. Furthermore, we have analyzed the interactions taking place among politicians, observing a lack of debate. Moreover, we characterize the users and politicians? interactions and propose a model to simulate their behavior.
Internacional	Si
Nombre congreso	The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016) [http://asonam.cpsc.ucalgary.ca/2016/]
Tipo de participación	960
Lugar del congreso	San Francisco (USA)
Revisores	Si
ISBN o ISSN	CDP08UPM
DOI
Fecha inicio congreso	18/08/2016
Fecha fin congreso	21/08/2016
Desde la página	0
Hasta la página	0
Título de las actas	ASONAM 2016. Abstracts [http://akademikiletisim.com/asonam_program/ in Day3 - Wine salon - Multidisciplinary S6: Social Media Analysis and Political Issues]

Esta actividad pertenece a memorias de investigación

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

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