I Tube, You Tube, Everybody Tubes: Analyzing the World’s Largest User Generated Content Video System
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Impressive, although it seems like more of a pretty superficial survey. There's not a lot of depth on any one topic, but what it lacks in depth it makes up for in volume of data.
A complaint of mine is that I'm skeptical about the "fetch at most once" theory to explain the exponential cutoff. For myself, I tend to view videos multiple times. More mathematically, it strikes me that V is too big relative to R for there to be a whole lot of effect, though I haven't actually run numbers.
More on the exponential cutoff. First, for me the "fetch at most once" thing is not true at all; I use YouTube a lot, and I frequently view the same video many times. I have two alternate explanations for the exponential cutoff, ie the lack of super-high-popularity videos.
1) Even a great video will typically only appeal to a small fraction of YouTube audience. I frequently watch Star Wars scenes; how many people would want to do that? So for most videos there is an effective upper bound on popularity that is much lower than if everyone watched it.
2) Really popular videos have viral copies made, which dilutes the popularity of any one video. Example : the Star Wars Kid. Considering the treatment that is later given to aliasing, it's surprising that the authors didn't seem to make this connection.