Heavy-Tailed Statistics in Short-Message Communication |
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Authors: | HONG Wei HAN Xiao-Pu ZHOU Tao WANG Bing-Hong |
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Affiliation: | Department of Modern Physics, University of Science and Technology of China, Hefei 230026Department of Physics, University of Fribourg, CH-1700 Fribourg, SwitzerlandShanghai Academy for Systemic Sciences, Shanghai 200093 |
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Abstract: | Short-message (SM) is one of the most frequently used communication channels in modern society. Based on the SM communication records provided by some volunteers, we investigate the statistics of SM communication pattern, including the inter-event time distributions between two consecutive short messages and two conversations, and the distribution of message number contained in a complete conversation. In the individual level, the empirical result raises strong evidence that the human activity pattern, exhibiting a heavy-tailed inter-event time distribution, is driven by a non-Poisson process. |
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Keywords: | 89 75 Da 02 50 -r |
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