J
Jussara M. Almeida
Researcher at Universidade Federal de Minas Gerais
Publications - 288
Citations - 9673
Jussara M. Almeida is an academic researcher from Universidade Federal de Minas Gerais. The author has contributed to research in topics: Social media & Popularity. The author has an hindex of 43, co-authored 274 publications receiving 8859 citations. Previous affiliations of Jussara M. Almeida include University of Wisconsin-Madison.
Papers
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Journal ArticleDOI
Summary cache: a scalable wide-area web cache sharing protocol
TL;DR: This paper demonstrates the benefits of cache sharing, measures the overhead of the existing protocols, and proposes a new protocol called "summary cache", which reduces the number of intercache protocol messages, reduces the bandwidth consumption, and eliminates 30% to 95% of the protocol CPU overhead, all while maintaining almost the same cache hit ratios as ICP.
Proceedings ArticleDOI
Summary cache: a scalable wide-area Web cache sharing protocol
TL;DR: This paper proposes a new protocol called "Summary Cache"; each proxy keeps a summary of the URLs of cached documents of each participating proxy and checks these summaries for potential hits before sending any queries, which enables cache sharing among a large number of proxies.
Proceedings ArticleDOI
Using early view patterns to predict the popularity of youtube videos
TL;DR: These proposed models lead to significant decreases in relative squared errors, reaching up to 20% reduction on average, and larger reductions for videos that experience a high peak in popularity in their early days followed by a sharp decrease in popularity.
Proceedings ArticleDOI
The tube over time: characterizing popularity growth of youtube videos
TL;DR: This work characterize the growth patterns of video popularity on the currently most popular video sharing application, namely YouTube, and shows that copyright protected videos tend to get most of their views much earlier in their lifetimes, often exhibiting a popularity growth characterized by a viral epidemic-like propagation process.
Proceedings ArticleDOI
Detecting spammers and content promoters in online video social networks
Fabrício Benevenuto,Tiago Rodrigues,Virgilio Almeida,Jussara M. Almeida,Marcos André Gonçalves +4 more
TL;DR: This paper manually builds a test collection of real YouTube users, classifying them as spammers, promoters, and legitimates, and provides a characterization of social and content attributes that may help distinguish each user class.