datasheet1_Stretched Exponential Dynamics in Online Article Views.pdf
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https://figshare.com/articles/dataset/datasheet1_Stretched_Exponential_Dynamics_in_Online_Article_Views_pdf/13571525
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资源简介:
Article view statistics offers a measure to quantify scientific and public impact of online published articles. Popularity of a paper in online community changes with time. To understand popularity dynamics of article views, we propose a decay dynamics based on a stretched exponential model. We find that a stretched exponent gradually decreases with time after online publication following a power-law scaling. Compared with a simple exponential or biexponential model, a stretched exponential model with a time-dependent exponent well describes long-tailed popularity dynamics of online articles. This result gives a useful insight into how popularity diminishes with time in online community.
创建时间:
2021-01-14



