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Volume & Issue no: Volume 6, Issue 1, January - February 2017

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Title:
Video Popularity Distribution and Propagation in Social Networks
Author Name:
Subhankar Ghosh , Selva Kumar S.
Abstract:
Abstract Online Social networks (OSNs) have become a major platform for communication as well as for distribution of content such as images, videos and external links to blog posts. Content distribution in self-hosted websites like YouTube, Vimeo, etc. generally conform to the Pareto principle where 20 percent of the contents account for 80 percent of the views. Yet the popularity dynamics of videos being shared in OSNs, from Video Sharing Sites (VSSes) is mostly unknown. The interaction of these contents with social networks dramatically increases the skewness of their popularity. To this end, we discuss the popularity dynamics of videos in VSSes focussing on views, ratings and comments. We then present an emulator which replicates the viewing and sharing behaviours of users in an OSN. Our model is based on the Galton-Watson branching process, incorporating the effect of the sharer’s influence in the propagation of videos through the network. Simulation results show high unevenness in the distribution and properly captures the popularity dynamics of videos in OSNs.
Cite this article:
Subhankar Ghosh , Selva Kumar S. , " Video Popularity Distribution and Propagation in Social Networks" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 1, January - February 2017 , pp. 001-005 , ISSN 2278-6856.
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NOTE: Authors note that paper cannot be withdrawn at any condition once it is accepted. The Team of IJETTCS advise you, do not submit same article to the multiple journals simultaneously. This may create a problem for you. Please wait for review report which will take maximum 01 to 02 week. 

 

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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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