The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Statistics and Social Network of YouTube Videos
Abstract
YouTube has become the most successful Internet website providing a new generation of short video sharing service since its establishment in early 2005. YouTube has a great impact on Internet traffic nowadays, yet itself is suffering from a severe problem of scalability. Therefore, understanding the characteristics of YouTube and similar sites is essential to network traffic engineering and to their sustainable development. To this end, we have crawled the YouTube site for four months, collecting more than 3 million YouTube videos' data. In this paper, we present a systematic and in-depth measurement study on the statistics of YouTube videos. We have found that YouTube videos have noticeably different statistics compared to traditional streaming videos, ranging from length and access pattern, to their growth trend and active life span. We investigate the social networking in YouTube videos, as this is a key driving force toward its success. In particular, we find that the links to related videos generated by uploaders' choices have clear small-world characteristics. This indicates that the videos have strong correlations with each other, and creates opportunities for developing novel techniques to enhance the service quality.
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Cites
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I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
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Cited by
The impact of YouTube recommendation system on video views
Zhou, R., Khemmarat, S., & Gao, L. (2010) · Proceedings of the 10th ACM SIGCOMM conference on Internet measurement · doi:10.1145/1879141.1879193 · Cited by 347
Impact of cloudlets on interactive mobile cloud applications
Fesehaye, D., Gao, Y., Nahrstedt, K., & Wang, G. (2012) · 2012 IEEE 16th International Enterprise Distributed Object Computing Conference · doi:10.1109/edoc.2012.23 · Cited by 147
Movshovitz-Attias, D., Movshovitz-Attias, Y., Steenkiste, P., & Faloutsos, C. (2013) · Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining · doi:10.1145/2492517.2500242 · Cited by 141
Vivisecting YouTube: An active measurement study
Adhikari, V. K., Jain, S., Chen, Y., & Zhang, Z.-L. (2012) · 2012 Proceedings IEEE INFOCOM · doi:10.1109/infcom.2012.6195644 · Cited by 134
Metadata
- Authors
- Cheng, X., Dale, C., & Liu, J.
- Venue
- 2008 16th Interntional Workshop on Quality of Service
- Publisher
- IEEE
- Published
- 2008-06
- Pages
- 229-238
- OpenAlex
- W2171121044
- Cited by
- 720
- References
- 14
- FWCI
- 52.33
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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