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Markov modeling of Twitter tweet inter-arrival times

We introduce an improved model for human communication patterns, in particular for arrival times of Twitter tweets. We introduce a concept that allows to capture the dependence of subsequent waiting times between such events. The presence of such dependence not only matches intuition, but the data shows a significantly better fit for the new model, thus confirming the proposition.