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• W2023019696 endingPage "18158" @default.
• W2023019696 startingPage "18153" @default.
• W2023019696 abstract "Patterns of deliberate human activity and behavior are of utmost importance in areas as diverse as disease spread, resource allocation, and emergency response. Because of its widespread availability and use, e-mail correspondence provides an attractive proxy for studying human activity. Recently, it was reported that the probability density for the inter-event time τ between consecutively sent e-mails decays asymptotically as τ −α , with α ≈ 1. The slower-than-exponential decay of the inter-event time distribution suggests that deliberate human activity is inherently non-Poissonian. Here, we demonstrate that the approximate power-law scaling of the inter-event time distribution is a consequence of circadian and weekly cycles of human activity. We propose a cascading nonhomogeneous Poisson process that explicitly integrates these periodic patterns in activity with an individual's tendency to continue participating in an activity. Using standard statistical techniques, we show that our model is consistent with the empirical data. Our findings may also provide insight into the origins of heavy-tailed distributions in other complex systems." @default.
• W2023019696 created "2016-06-24" @default.
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• W2023019696 creator A5073544378 @default.
• W2023019696 date "2008-11-25" @default.
• W2023019696 modified "2023-10-02" @default.
• W2023019696 title "A Poissonian explanation for heavy tails in e-mail communication" @default.
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• W2023019696 doi "https://doi.org/10.1073/pnas.0800332105" @default.
• W2023019696 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2587567" @default.
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• W2023019696 hasPublicationYear "2008" @default.
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