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Memorias de investigación
Ponencias en congresos:
Efficiency of Human Activity on Information Spreading on Twitter
Año:2014
Áreas de investigación
  • Física química y matemáticas
Datos
Descripción
Understanding the collective reaction to individual actions is key to e?ectively spread information in social media. In this work we define efficiency on Twitter, as the ratio between the emergent spreading process and the activity employed by the user. We characterize this property by means of a quantitative analysis of the structural and dynamical patterns emergent from human interactions, and show it to be universal across several Twitter conversations. We found that some influential users efficiently cause remarkable collective reactions by each message sent, while the majority of users must employ extremely larger e?orts to reach similar e?ects. Next we propose a model that reproduces the retweet cascades occurring on Twitter to explain the emergent distribution of the user efficiency. The model shows that the dynamical patterns of the conversations are strongly conditioned by the topology of the underlying network. We conclude that the appearance of a small fraction of extremely efficient users results from the heterogeneity of the followers network and independently of the individual user behaviour.
Internacional
Si
Nombre congreso
The 10th AIMS Conference on Dynamical Systems, Differential Equations and Applications [http://www.aimsciences.org/conferences/2014/]
Tipo de participación
960
Lugar del congreso
Madrid
Revisores
Si
ISBN o ISSN
0000-0000
DOI
Fecha inicio congreso
07/07/2014
Fecha fin congreso
11/07/2014
Desde la página
451
Hasta la página
451
Título de las actas
The 10th AIMS Conference on Dynamical Systems Differential Equations and Applications - ABSTRACTS [http://www.aimsciences.org/conferences/2014/abstracts-book-finalized-2014-06-10.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: Ingeniería Agroforestal
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