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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...
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Publicado no: | PLoS One |
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Main Authors: | , , |
Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Public Library of Science
2016
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4978406/ https://ncbi.nlm.nih.gov/pubmed/27505155 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0160592 |
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