Efficiency of human activity on information spreading on Twitter
| Data(s) |
01/10/2014
31/12/1969
|
|---|---|
| Resumo |
In this work we study Twitter data to understand influence dynamics in social networks. We define user 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. |
| Formato |
application/pdf |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
E.T.S.I. Agrónomos (UPM) |
| Relação |
http://oa.upm.es/32656/1/INVE_MEM_2014_178500.pdf http://www.sciencedirect.com/science/article/pii/S0378873314000215 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.socnet.2014.03.007 |
| Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/embargoedAccess |
| Fonte |
Social Networks, ISSN 0378-8733, 2014-10, Vol. 39 |
| Palavras-Chave | #Ciencias Sociales |
| Tipo |
info:eu-repo/semantics/article Artículo PeerReviewed |
