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- W2063928112 abstract "Memes, like Rickrolling or LOLcats, are the invasive species of social network ecosystems such as Facebook and Twitter. Viral hashtags are so interesting that even at first sight, you just start to use them, says Yong-Yeol Ahn, assistant professor at Indiana University's School of Informatics and Computing. Ahn and his coauthors have isolated the network properties of memes and turned them into a forecasting tool, enabling the prediction of which Twitter hashtags will go viral nearly two out of three times based on how the hashtag is shared in its early stages. Ahn says later this spring they'll be publishing follow-up research that looks at predicting just how big a splash a viral meme will make." @default.
- W2063928112 created "2016-06-24" @default.
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- W2063928112 date "2014-04-01" @default.
- W2063928112 modified "2023-09-27" @default.
- W2063928112 title "Forecasti ng Virality [Dataflow]" @default.
- W2063928112 doi "https://doi.org/10.1109/mspec.2014.6776315" @default.
- W2063928112 hasPublicationYear "2014" @default.
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