A Power-Law Growth and Decay Model with Autocorrelation for Posting Data to Social Networking Services

We propose a power-law growth and decay model for posting data to social networking services before and after social events. We model the time series structure of deviations from the power-law growth and decay with a conditional Poisson autoregressive (AR) model. Online postings related to social ev...

Descripción completa

Detalles Bibliográficos
Autores principales: Fujiyama, Toshifumi, Matsui, Chihiro, Takemura, Akimichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978406/
https://www.ncbi.nlm.nih.gov/pubmed/27505155
http://dx.doi.org/10.1371/journal.pone.0160592

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978406/
https://www.ncbi.nlm.nih.gov/pubmed/27505155
http://dx.doi.org/10.1371/journal.pone.0160592

Ejemplares similares