the way information is spread on the Web 2. Explain the popularity-gaining phenomenon on the Web 3. Estimate inﬂuence and homophily between users 4. Estimate the value of the content 5.They are better indicators of users’ interest and trust networks 6.Explain social network evolution
functionality • The ability to reblog allow content to spread • The traces of the spread create cascades that can be observed • The reblogging events appears as a list of notes attached to posts and their reblogged copies
neat tree topology .. • However .. • That is not the case, at least not all the time • This is due to cases where: • Reblogs are deleted • Users deactivate their accounts • Users reblog more than once Isolated components Repeated appearances of users
Ratio = Branching factor / sub cascade size - if ratio > 1: - The user generates a subcascade that goes beyond its immediate effect, i.e. their branching factor - if ratio = 1: - The user generates subcascades that equal one
days • The youngest was active for 28 days • Surprisingly, the old post has a very small cascade size of 131 reblogs, but still managed to survive for 617 days! Accumulating popularity slowly but steady!
some really ‘large’ cascades! • Cascades matter! • Users’ inﬂuence might be underestimated if only the branching factor was taken into account • Cascades on Tumblr have non-trivial sizes and depths • Cascades grow in size in so many ways .. • Large cascades exist!