Heavy-Tailed Statistics in Short-Message Communication
HONG Wei1, HAN Xiao-Pu1, ZHOU Tao1,2, WANG Bing-Hong 1,3
1Department of Modern Physics, University of Science and Technology of China, Hefei 2300262Department of Physics, University of Fribourg, CH-1700 Fribourg, Switzerland3Shanghai Academy for Systemic Sciences, Shanghai 200093
Heavy-Tailed Statistics in Short-Message Communication
HONG Wei1, HAN Xiao-Pu1, ZHOU Tao1,2, WANG Bing-Hong 1,3
1Department of Modern Physics, University of Science and Technology of China, Hefei 2300262Department of Physics, University of Fribourg, CH-1700 Fribourg, Switzerland3Shanghai Academy for Systemic Sciences, Shanghai 200093
摘要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.
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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2009, Vol. 26 
