Abstract
We begin by investigating the popularity of videos propagated through online social networks, including the popularity distribution and its evolution. Then, we investigate predictive models that capture social video popularity.
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Notes
- 1.
ρ p has been widely used to measure the strength of linear dependence between two variables, and ρ s assesses how well the relationship between two variables can be described using a monotonic function. The ranges of both ρ p and ρ s are from − 1 to 1, where a value greater than 0 indicates a positive correlation and a value less than 0 indicates a negative correlation. A value of 0. 8 or more is usually considered strong positive correlation [2].
- 2.
It is easy to assign unique identifiers for multiple videos that are generated/initiated at the same time.
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Wang, Z., Liu, J., Zhu, W. (2016). Popularity of Social Videos. In: Social Video Content Delivery. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-33652-7_2
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DOI: https://doi.org/10.1007/978-3-319-33652-7_2
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