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The View Growth Pattern of User Generated Videos on YouTube

초록

영어

With the rapid development of social media, video sharing sites like YouTube are getting more and more attention. Discovering the view growth pattern have become interesting topics for researchers as well as advertisers, media companies. In this paper, we analyze two aspects about video view growth pattern of YouTube videos. Firstly, the pattern of aggregated view is studied. It is found that the aggregated view rate peaks in the first few days, and falls quickly in the following days, and then decrease slowly during the consecutive weeks. Finally, the view rate tends to be a constant on the long run. The aggregated view count after a period of two months can be fitted with a linear line. Secondly, the view growth pattern of individual video is explored. The results indicate that the majority of videos peak at the very beginning of videos’ lifetime, and the category of view sources causes the peak is different. The view count of individual video and the view count from each source item also stabilize after a period of two months, and we finally show the referring time and active period of each source item.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Data Set
 4. Aggregated View Pattern
  4.1. Aggregated View Pattern of Videos
  4.2. Aggregated View Pattern of Each Category of Sources
 5. Statistics of Individual Video View Pattern
  5.1. When Individual Videos Peak
  5.2. What Category of View Sources Cause the Peak
  5.3. Stabilization of Individual Video View
  5.4. Stabilization of View from Each Source Item
  5.5. Referring Time and Active Period of Each Source Item
 6. Conclusion
 Acknowledgment
 References

저자정보

  • Renjie Zhou College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China, Key Laboratory Complex System Modeling and Simulation, Ministry of Education, Hangzhou, China.
  • Dongchen Xia College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China, Key Laboratory Complex System Modeling and Simulation, Ministry of Education, Hangzhou, China.
  • Yuyu Yin College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China, Key Laboratory Complex System Modeling and Simulation, Ministry of Education, Hangzhou, China.
  • Jilin Zhang College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China, Key Laboratory Complex System Modeling and Simulation, Ministry of Education, Hangzhou, China.
  • Wei Zhang College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China, Key Laboratory Complex System Modeling and Simulation, Ministry of Education, Hangzhou, China.

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