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Heavy-Tailed Statistics in Short-Message Communication

2008/02/19 by Wei Hong, Hong Wei, Xiaopu Han +5 · 58 citations
Economics, Econometrics and Finance · Physics and Astronomy · #Communications system #Complex Network Analysis Techniques #Complex Systems and Time Series Analysis #Distribution (mathematics) #Human communication #Opinion Dynamics and Social Influence #Probability distribution #Summary statistics #physics.data-an #physics.soc-ph

paper · pdf · doi:10.1088/0256-307x/26/2/028902

published in Chinese Physics Letters 26(2), 028902 (Institute of Physics) · 4 pages, 4 figures and 1 table

arxiv created 2008/02/19 · openalex publication_date 2009/02/01 · arxiv updated 2009/12/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

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.

Citations