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Memorias de investigación
Ponencias en congresos:
Characterizing And Modeling Collective Behavior In Complex Events On Twitter
Año:2012
Áreas de investigación
  • Física química y matemáticas
Datos
Descripción
Over the past years, new technologies and specially online social networks have penetrated into the world?s population at an accelerated pace. An important feature of these communication tools is that they provide a large amount of user generated content, which is certainly attracting scientific research. In our study we use the data available from Twitter, to unveil and analyze the structural and dynamical patterns from the user interactions, in order to characterize the emergent collective behavior. We have focused our studies around relevant events such as political protests, electoral processes and the propagation of breaking news, which present several critical phenomena features, such as bursty growth and power law distributions. We use the complex network theory to represent the phenomena and found community structures, compound by users with highly heterogeneous profiles. Such profiles do not have the same impact in the event development, and therefore we have being able to classify them according to their role in the information diffusion process.
Internacional
Si
Nombre congreso
European Conference on Complex Systems (ECCS'12) [http://eccs2012.eu/]
Tipo de participación
960
Lugar del congreso
Bruselas (Bélgica)
Revisores
Si
ISBN o ISSN
00-000-000-000-00
DOI
Fecha inicio congreso
03/09/2012
Fecha fin congreso
07/09/2012
Desde la página
96
Hasta la página
96
Título de las actas
ECCS '12 Brussels. Book of Abstracts [http://eccs2012.eu/media/eccs2012_book_of_abstracts.pdf]
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Alfredo Morales Guzmán (UPM)
  • Autor: Francisco Javier Borondo Benito (UPM)
  • Autor: Juan Carlos Losada Gonzalez (UPM)
  • 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: Física y Mecánica Fundamentales y Aplicada a la Ingeniería Agroforestal
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