The tube over time: characterizing popularity growth of youtube videos

By F. Figueiredo, Fabrício Benevenuto, Jussara Marques de Almeida. Web Search and Data Mining, 2011

315 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/0b1e520fbca86e377678d82d9f6144bcf17f606e

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In Sociology and Political Science

In Statistical and Nonlinear Physics

Citations in the corpus

Using early view patterns to predict the popularity of youtube videos (2013, methodology): “characterized the popularity evolution patterns of YouTube videos and studied the impact of different types of referrers on such patterns [6], whereas Rodrigues et al.”
What makes an image popular? (2014, background): “While there has been some work in video popularity prediction [17, 16], these tend to naturally focus on the social cues, comment information, and associated tags.”
Viral Video Style: A Closer Look at Viral Videos on YouTube (2014, methodology): “We choose to avoid the term used in [5], as a considerable number of viral videos, including Gangnam Style, would be judged non-viral under this criterion.”
Science communication on YouTube: Factors that affect channel and video popularity (2016, background): “Figueiredo et al. (2011) similarly found that top videos (the quality category in Crane and Sornette (2008)) experience a significant burst of activity, receiving many views in a single day or week, with other videos undergoing several smaller peaks of activity.”
Understanding the Factors That Impact the Popularity of GitHub Repositories (2016, background): “we are the ﬁrst study to track popularity over time on social code sharing sites, like GitHub. However, there are similar studies in other contexts, like App Stores [22] and video sharing sites [31], [32]. Chatzopoulou et al. [31] analyze popularity of Youtube videos by looking at properties and pat”
Down the (White) Rabbit Hole: The Extreme Right and Online Recommender Systems (2015, result): “A similar finding was made by Figueiredo, Benevenuto, and Almeida (2011) where they demonstrated the importance of key mechanisms such as related videos in the attraction of users to videos.”
Dynamical classes of collective attention in twitter (2011, background): “The possibility of classifying online popularity peaks in a few discrete classes has been discussed in the literature [7, 10, 8, 12, 9].”