2020
DOI: 10.1016/j.physa.2019.122854
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Analysis of human behavior statistics law based on WeChat Moment

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Cited by 8 publications
(2 citation statements)
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“…This is concluded by ignoring the possible inactive time gap. In sustainability studies, it has been found sometimes that users may drop out and, after a long time, return to the original platform, such as in the case of newspaper subscriptions (Zhu and Weaver, 1989) and content sharing on social media (Zhang et al, 2020). If the long gaps between the two activities of a user are considered inactive periods, the sustainability of UGC activities would be assessed even lower.…”
Section: Discussion 71 Theoretical Contributionsmentioning
confidence: 99%
“…This is concluded by ignoring the possible inactive time gap. In sustainability studies, it has been found sometimes that users may drop out and, after a long time, return to the original platform, such as in the case of newspaper subscriptions (Zhu and Weaver, 1989) and content sharing on social media (Zhang et al, 2020). If the long gaps between the two activities of a user are considered inactive periods, the sustainability of UGC activities would be assessed even lower.…”
Section: Discussion 71 Theoretical Contributionsmentioning
confidence: 99%
“…Burstiness has also been reported for neuronal activity [5], animal activity [6], and urban soundscape [7]. For human behavior, burstiness has also been observed in a variety of types and hierarchies, including sending e-mails [2,8], making phone calls [9], web chatting [10], blog posting [11], website browsing [8], book loans [8,12], stock trade transactions [8], and word occurrences in texts [13]. Furthermore, human physical movements such as daily activities for several days [14], walking [15], and smartphone screen touches [16] also show burstiness.…”
Section: Introductionmentioning
confidence: 94%