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Following my question at SD to calculate Burstiness, I realised that it Standard Deviation is not very effective to represent burstiness. Does anyone have an idea how do I calculate burstiness more accurately?

The definition of burstiness here is that, if A set contain 3 numbers {2000,2000,2000} and B contain 3 numbers {0, 500, 0}, B is more "bursty" than A, and ideally burstiness(A) should be 0

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Why is the standard deviation insufficient here? sd(A) = 0 and sd(B) > sd(A), so it satisfies your conditions. –  01000100 Jan 8 '12 at 12:26
Probably the example I gave wasn't too good, the actual data is about 14 days, so the actual burstiness among group wasn't really significant –  cherhan Jan 8 '12 at 12:32
this paper proposes a burst intensity index: "The Effects of Query Bursts on Web Search" –  user46484 Oct 29 '12 at 22:59

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