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- W4287264275 abstract "We study the evolution of the number of retweets received by Twitter users over the course of their careers on the platform. We find that on average the number of retweets received by users tends to increase over time. This is partly expected because users tend to gradually accumulate followers. Normalizing by the number of followers, however, reveals that the relative, per-follower retweet rate tends to be non-monotonic, maximized at a peak age after which it does not increase, or even decreases. We develop a simple mathematical model of the process behind this phenomenon, which assumes a constantly growing number of followers, each of whom loses interest over time. We show that this model is sufficient to explain the non-monotonic nature of per-follower retweet rates, without any assumptions about the quality of content posted at different times." @default.
- W4287264275 created "2022-07-25" @default.
- W4287264275 creator A5059645286 @default.
- W4287264275 creator A5063557800 @default.
- W4287264275 date "2021-03-19" @default.
- W4287264275 modified "2023-10-17" @default.
- W4287264275 title "Evolution of Retweet Rates in Twitter User Careers: Analysis and Model" @default.
- W4287264275 doi "https://doi.org/10.48550/arxiv.2103.10754" @default.
- W4287264275 hasPublicationYear "2021" @default.
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