Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Using the small alignment index chaos indicator to characterize the phase space of LiNC-LiCN molecular system
Año:2016
Áreas de investigación
  • Física química y matemáticas
Datos
Descripción
The structure of the social networks in which individuals are embedded influences their political choices and therefore their voting behavior. Nowadays, social media represent a new channel for individuals to communicate, what together with the availability of the data, makes it possible to analyze the online social network resulting from political conversations. Here, by taking advantage of the recently developed techniques to analyze complex systems, we map the communication patterns resulting from Spanish political conversations. We identify the different existing communities, building networks of communities, and finding that users cluster themselves in politically homogeneous networks. We found that while most of the collective attention was monopolized by politicians, traditional media accounts were still the preferred sources from which to propagate information.
Internacional
Si
Nombre congreso
International Conference on Nonlinear Mathematics and Physics (No Lineal 2016) [http://congreso.us.es/nolineal16]
Tipo de participación
970
Lugar del congreso
Sevilla (Spain)
Revisores
Si
ISBN o ISSN
CDP08UPM
DOI
Fecha inicio congreso
07/06/2016
Fecha fin congreso
07/06/2016
Desde la página
86
Hasta la página
86
Título de las actas
No Lineal 2016 - International conference on nonlinear mathematics and physics. Book of Abstracts. [http://congreso.us.es/nolineal16/bookofabstracts.pdf]
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Pedro Manuel Benitez Gamero (UPM)
  • Autor: Juan Carlos Losada Gonzalez (UPM)
  • Autor: Rosa Maria Benito Zafrilla (UPM)
  • Autor: F. Borondo (Universidad Autónoma de Madrid)
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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