Statistics and Social Network of YouTube Videos

By Xu Cheng, C. Dale, Jiangchuan Liu. 2008 16th Interntional Workshop on Quality of Service, 2008

812 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

YouTube everywhere: impact of device and infrastructure synergies on user experience (2011, neutral): “We investigate the users behavior and correlateit withthe systemperformance.”
The Platformization of the Web: Making Web Data Platform Ready (2015, background): “This video embedding feature is often seen as an important factor in the success of YouTube as it enabled YouTube to circulate videos across social networks, blogs, and other parts of the web by modularizing and decen-tralizing its platform features (Cheng, Dale, & Liu, 2008).”
Scalable and Private Media Consumption with Popcorn (2016, neutral): “(YouTube, for example, has millions [27].)”
Predicting the popularity of online content (2008, background): “YouTube is the apex of the Web’s user-created video-sharing portals, with (as of 2008) 65,000 new videos uploaded and 100 million viewed daily, implying that 60% of all online videos were watched through YouTube.(3,6) It was also the third most frequently accessed site on the Web, based on traffic r”
DREAM: Dynamic Resource and Task Allocation for Energy Minimization in Mobile Cloud Systems (2015, methodology): “To generate workload/trafﬁc arrivals of each task, we use a YouTube video size distribution dataset in [28], where the average ﬁle size is 6.249 MB.”
The impact of YouTube recommendation system on video views (2010, neutral): “The relationship of related videos on YouTube has been studied by Cheng et al in [4].”