Characterizing and Predicting the Future Popularity of Online Videos

Computer Enginnering

The big size of video content has been generated on the online web, and user keeping track of all the details requires your complete attention among those videos is spatial arrangement. With the likes hit comment or views. Hence, understanding the popularity characteristics of online videos and predicting the future popularity of individual videos are of great importance. They have direct implications in various contexts, such as service design, advertisement planning, network management, and so on. In this paper, we address those two problems head-on based on data collected from a leading online video service provider in India, namely YouTube. We firstly analyze the characteristics of YouTube video popularity from four key aspects: long-term popularity, video lifetime and early stage popularity. According to this study such as advertisement planning, network management and also view count up to 15 days. Daily growth rate of view count up to 15th days. Aspects: popularity of long-term, hit’s video, in public open popularity as well as it demand or reaction on the video.

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