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Double dynamic scaling in human communication dynamics

Author

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  • Wang, Shengfeng
  • Feng, Xin
  • Wu, Ye
  • Xiao, Jinhua

Abstract

In the last decades, human behavior has been deeply understanding owing to the huge quantities data of human behavior available for study. The main finding in human dynamics shows that temporal processes consist of high-activity bursty intervals alternating with long low-activity periods. A model, assuming the initiator of bursty follow a Poisson process, is widely used in the modeling of human behavior. Here, we provide further evidence for the hypothesis that different bursty intervals are independent. Furthermore, we introduce a special threshold to quantitatively distinguish the time scales of complex dynamics based on the hypothesis. Our results suggest that human communication behavior is a composite process of double dynamics with midrange memory length. The method for calculating memory length would enhance the performance of many sequence-dependent systems, such as server operation and topic identification.

Suggested Citation

  • Wang, Shengfeng & Feng, Xin & Wu, Ye & Xiao, Jinhua, 2017. "Double dynamic scaling in human communication dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 313-318.
    • Handle: RePEc:eee:phsmap:v:473:y:2017:i:c:p:313-318
    DOI: 10.1016/j.physa.2017.01.010
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    References listed on IDEAS

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    1. H. Bauke, 2007. "Parameter estimation for power-law distributions by maximum likelihood methods," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 58(2), pages 167-173, July.
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    3. Albert-László Barabási, 2005. "The origin of bursts and heavy tails in human dynamics," Nature, Nature, vol. 435(7039), pages 207-211, May.
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