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Insight Data of YouTube from a Partner's View

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TLDR
This paper for the first time analyze a large-scale YouTube dataset from a partner's view using Insight, a new analytics service of YouTube that offers inside statistics for partners about their content accesses and audience behaviours, and reveals the inherent relationship among the various metrics that affect the popularity of the videos.
Abstract
YouTube is arguably the most popular online videos sharing site nowadays To further augment its service with better revenue, it has started working with content owners (known as YouTube partners) whose copyrighted videos and channels have pulled massive audience By uploading high-quality premium videos, the partners have essentially changed the user-generated content feature of YouTube and further increased YouTube's popularity Understanding the latest YouTube access pattern is thus crucial to both YouTube and its partners, as well as to other providers of relevant services In this paper, we for the first time analyze a large-scale YouTube dataset from a partner's view We make effective use of Insight, a new analytics service of YouTube that offers inside statistics for partners about their content accesses and audience behaviours From the raw Insight data that are confined to simple scalars and charts, we reveal the inherent relationship among the various metrics that affect the popularity of the videos Our findings facilitate YouTube partners to adapt their content deployment and user engagement strategies, having great potentials for them to collaborate with YouTube to generate more views and subsequently increasing their revenues

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References
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Proceedings ArticleDOI

Measurement and analysis of online social networks

TL;DR: This paper examines data gathered from four popular online social networks: Flickr, YouTube, LiveJournal, and Orkut, and reports that the indegree of user nodes tends to match the outdegree; the networks contain a densely connected core of high-degree nodes; and that this core links small groups of strongly clustered, low-degree node at the fringes of the network.
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I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system

TL;DR: In this article, the authors analyzed YouTube, the world's largest UGC VoD system, and provided an in-depth study of the popularity life cycle of videos, intrinsic statistical properties of requests and their relationship with video age, and the level of content aliasing or of illegal content.
Proceedings ArticleDOI

Youtube traffic characterization: a view from the edge

TL;DR: This paper presents a traffic characterization study of the popular video sharing service, YouTube, and finds that as with the traditional Web, caching could improve the end user experience, reduce network bandwidth consumption, and reduce the load on YouTube's core server infrastructure.
Proceedings ArticleDOI

Statistics and Social Network of YouTube Videos

TL;DR: The social networking in YouTube videos is investigated, finding that the links to related videos generated by uploaders' choices have clear small-world characteristics, indicating that the videos have strong correlations with each other, and creates opportunities for developing novel techniques to enhance the service quality.
Proceedings ArticleDOI

The impact of YouTube recommendation system on video views

TL;DR: A measurement study on data sets crawled from YouTube finds that the related video recommendation, which recommends the videos that are related to the video a user is watching, is one of the most important view sources of videos.
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Understanding the latest YouTube access pattern is thus crucial to both YouTube and its partners, as well as to other providers of relevant services.