Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Efficiency of human activity on information spreading on Twitter
Year:2014
Research Areas
  • Physics chemical and mathematical
Information
Abstract
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.
International
Si
JCR
Si
Title
Social Networks
ISBN
0378-8733
Impact factor JCR
2,138
Impact info
Volume
39
10.1016/j.socnet.2014.03.007
Journal number
From page
1
To page
11
Month
OCTUBRE
Ranking
Participants
  • Autor: Alfredo Morales Guzmán (UPM)
  • Autor: Juan Carlos Losada Gonzalez (UPM)
  • Autor: Rosa Maria Benito Zafrilla (UPM)
  • Autor: Francisco Javier Borondo Benito (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
  • Departamento: Ingeniería Agroforestal
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