Heavy-tailed statistics in short-message communication

Details Heavy-tailed statistics in short-message communication Heavy-tailed statistics in short-message communication

2008-02-19

arxiv.org/abs/0802.2577v1

Chinese Physics Letters 26 (2009) 028902

Physics

Physics and Society

4 pages, 4 figures and 1 table

Scientific paper

10.1088/0256-307X/26/2/028902

Short-message (SM) is one of the most frequently used communication channels in the modern society. In this Brief Report, based on the SM communication records provided by some volunteers, we investigate the statistics of SM communication pattern, including the interevent time distributions between two consecutive short messages and two conversations, and the distribution of message number contained by a complete conversation. In the individual level, the current empirical data raises a strong evidence that the human activity pattern, exhibiting a heavy-tailed interevent time distribution, is driven by a non-Poisson nature.

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