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| Content Provider | ACM Digital Library |
|---|---|
| Author | Zhang, Lei Liu, Jiangchuan Wang, Feng |
| Abstract | With the rapidly development of mobile networking and end-terminals, anytime and anywhere data access become readily available nowadays. Given the crowdsourced content capturing and sharing, the preferred length becomes shorter and shorter, even for such multimedia content as video. A representative is Twitter's Vine service, which, available exclusively to mobile users, enables them to create ultra-short video clips, and instantly post and share them with their followers. In this paper, we present an initial study on this new generation of instant video clip sharing service over mobile platforms, taking Vine as a case. We closely investigate the architecture of Vine, and reveal how its service is empowered with a combination of advanced mobile and cloud computing platforms. Through a dataset of over 50, 000 video clips and over 1, 000, 000 user profiles, which is available online for academic use, we examine the unique viewing behaviors of Vine uses, particularly batch viewing and passive viewing. We further analyze the video lifetime and propagation patterns in this new service, as well as the distinct social relations therein. Our study lead to critical observations that would help with improving the energy-efficiency and scalability of Vine-like services. |
| Starting Page | 85 |
| Ending Page | 90 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450327060 |
| DOI | 10.1145/2578260.2578278 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-03-19 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Video sharing Social network Mobile |
| Content Type | Text |
| Resource Type | Article |
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