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Memorias de investigación
Artículos en revistas:
Efficiency of human activity on information spreading on Twitter
Año:2014
Áreas de investigación
  • Física química y matemáticas
Datos
Descripción
tUnderstanding the collective reaction to individual actions is key to effectively spread information insocial media. In this work we define efficiency on Twitter, as the ratio between the emergent spreadingprocess and the activity employed by the user. We characterize this property by means of a quantitativeanalysis of the structural and dynamical patterns emergent from human interactions, and show it tobe universal across several Twitter conversations. We found that some influential users efficiently causeremarkable collective reactions by each message sent, while the majority of users must employ extremelylarger efforts to reach similar effects. Next we propose a model that reproduces the retweet cascadesoccurring on Twitter to explain the emergent distribution of the user efficiency. The model shows thatthe dynamical patterns of the conversations are strongly conditioned by the topology of the underlyingnetwork. We conclude that the appearance of a small fraction of extremely efficient users results fromthe heterogeneity of the followers network and independently of the individual user behavior.
Internacional
Si
JCR del ISI
Si
Título de la revista
Social Networks
ISSN
0378-8733
Factor de impacto JCR
2,138
Información de impacto
Volumen
39
DOI
10.1016/j.socnet.2014.03.007
Número de revista
Desde la página
1
Hasta la página
11
Mes
OCTUBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Alfredo Morales Guzmán (UPM)
  • Autor: Juan Carlos Losada Gonzalez (UPM)
  • Autor: Rosa Maria Benito Zafrilla (UPM)
  • Autor: Francisco Javier Borondo Benito (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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