Catching a viral video

被引：50

作者：

Broxton, Tom ^{[1
]}

Interian, Yannet ^{[1
]}

Vaver, Jon ^{[1
]}

Wattenhofer, Mirjam ^{[1
]}

机构：

[1] Google Inc, San Bruno, CA USA

来源：

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS | 2013年 / 40卷 / 02期

关键词：

Viral videos; Internet sharing; YouTube; Social media; Ranking blogs; Data mining; Logs mining; Weblogs;

D O I：

10.1007/s10844-011-0191-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The sharing and re-sharing of videos on social sites, blogs e-mail, and other means has given rise to the phenomenon of viral videos-videos that become popular through internet sharing. In this paper we seek to better understand viral videos on YouTube by analyzing sharing and its relationship to video popularity using millions of YouTube videos. The socialness of a video is quantified by classifying the referrer sources for video views as social (e.g. an emailed link, Facebook referral) or non-social (e.g. a link from related videos). We find that viewership patterns of highly social videos are very different from less social videos. For example, the highly social videos rise to, and fall from, their peak popularity more quickly than less social videos. We also find that not all highly social videos become popular, and not all popular videos are highly social. By using our insights on viral videos we are able develop a method for ranking blogs and websites on their ability to spread viral videos.

引用

页码：241 / 259

页数：19