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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...
Autores principales: | Fujiyama, Toshifumi, Matsui, Chihiro, Takemura, Akimichi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
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 |
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