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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