Characterizing viral videos: Methodology and applications

Volume: 19, Pages: 19 - 32
Published: Sep 1, 2016
Abstract
It is estimated that the online video advertising market will be worth 8 billion by 2016, up from billion by 2013. Consequently, there is a need for metrics to help analyze and understand this rapidly growing market. This paper helps fill this need by describing a framework for modeling online video behavior, which is based on growth curve modeling. Different categories of video behavior are defined, including “delayed viral” behavior and...
Paper Details
Title
Characterizing viral videos: Methodology and applications
Published Date
Sep 1, 2016
Volume
19
Pages
19 - 32
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