BurstinessParameter
BurstinessParameter is a dimensionless metric used to quantify how much the timing of events in a sequence deviates from a random, Poisson-like process. It is commonly applied to time-stamped data such as human activities, communication events, or neuronal spike trains to capture the tendency of events to cluster into bursts versus occurring at a steady pace.
Formally, for a sequence of inter-event times τi, compute the mean μ = E[τ] and the standard deviation
Computation and interpretation considerations: B is scale-invariant to time units, since scaling all inter-event times by
Applications and limitations: BurstinessParameter is used in studies of human dynamics, communication networks, and neuroscience to