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Punctuated equilibrium dynamics in human communications

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  • Peng, Dan
  • Han, Xiao-Pu
  • Wei, Zong-Wen
  • Wang, Bing-Hong

Abstract

A minimal model based on network incorporating individual interactions is proposed to study the non-Poisson statistical properties of human behavior: individuals in system interact with their neighbors, the probability of an individual acting correlates to its activity, and all the individuals involved in action will change their activities randomly. The model reproduces varieties of spatial–temporal patterns observed in empirical studies of human daily communications, providing insight into various human activities and embracing a range of realistic social interacting systems, particularly, intriguing bimodal phenomenon. This model bridges priority queueing theory and punctuated equilibrium dynamics, and our modeling and analysis is likely to shed light on non-Poisson phenomena in many complex systems.

Suggested Citation

  • Peng, Dan & Han, Xiao-Pu & Wei, Zong-Wen & Wang, Bing-Hong, 2015. "Punctuated equilibrium dynamics in human communications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 36-44.
    • Handle: RePEc:eee:phsmap:v:436:y:2015:i:c:p:36-44
    DOI: 10.1016/j.physa.2015.05.007
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    References listed on IDEAS

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    1. Li, Nan-Nan & Zhang, Ning & Zhou, Tao, 2008. "Empirical analysis on temporal statistics of human correspondence patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(25), pages 6391-6394.
    2. S. C. Wang & J. J. Tseng & C. C. Tai & K. H. Lai & W. S. Wu & S. H. Chen & S. P. Li, 2008. "Network topology of an experimental futures exchange," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 62(1), pages 105-111, March.
    3. Benavent-Corai, J. & Rojo, C. & Suárez-Torres, J. & Velasco-García, L., 2007. "Scaling properties in forest fire sequences: The human role in the order of nature," Ecological Modelling, Elsevier, vol. 205(3), pages 336-342.
    4. A. Grabowski, 2009. "Human behavior in online social systems," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 69(4), pages 605-611, June.
    5. Zhao, Zhi-Dan & Zhou, Tao, 2012. "Empirical analysis of online human dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3308-3315.
    6. Wang, Peng & Xie, Xiao-Yi & Yeung, Chi Ho & Wang, Bing-Hong, 2011. "Heterogenous scaling in the inter-event time of on-line bookmarking," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(12), pages 2395-2400.
    7. Oliveira, J.G. & Vazquez, A., 2009. "Impact of interactions on human dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(2), pages 187-192.
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    Cited by:

    1. Sun, Zhi & Peng, Qinke & Lv, Jia & Zhong, Tao, 2017. "Analyzing the posting behaviors in news forums with incremental inter-event time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 203-212.
    2. Yang, Tian & Feng, Xin & Wu, Ye & Wang, Shengfeng & Xiao, Jinghua, 2018. "Human dynamics in repurchase behavior based on comments mining," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 563-569.

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