Unsupervised Scalable Statistical Method for Identifying Influential Users in Online Social Networks

Billions of users interact intensively every day via Online Social Networks (OSNs) such as Facebook, Twitter, or Google+. This makes OSNs an invaluable source of information, and channel of actuation, for sectors like advertising, marketing, or politics. To get the most of OSNs, analysts need to ide...

Descripción completa

Detalles Bibliográficos
Autores principales: Azcorra, A., Chiroque, L. F., Cuevas, R., Fernández Anta, A., Laniado, H., Lillo, R. E., Romo, J., Sguera, C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5934471/
https://www.ncbi.nlm.nih.gov/pubmed/29725046
http://dx.doi.org/10.1038/s41598-018-24874-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5934471/
https://www.ncbi.nlm.nih.gov/pubmed/29725046
http://dx.doi.org/10.1038/s41598-018-24874-2

Ejemplares similares