Xie, LexingNatsev, ApostolHe, XumingKender, John RHill, Matthew L.Smith, John R2015-12-131520-9210http://hdl.handle.net/1885/74888Content sharing networks, such as YouTube, contain traces of both explicit online interactions (such as likes, comments, or subscriptions), as well as latent interactions (such as quoting, or remixing, parts of a video). We propose visual memes, or frequeKeywords: Detection algorithm; Image database; On-line interactions; Predictive models; Quantitative evaluation; Statistical modeling; Video interactions; YouTube; Multimedia systems; Signal processing; Social networking (online); Forecasting Image databases; social networks; YouTube201310.1109/TMM.2013.22649292016-02-24