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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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Bibliografische gegevens
Gepubliceerd in:PLoS One
Hoofdauteurs: Fujiyama, Toshifumi, Matsui, Chihiro, Takemura, Akimichi
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Public Library of Science 2016
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Online toegang: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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