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Network structure entropy and its dynamical evolution for recurrence networks from earthquake magnitude time series

Author

Listed:
  • Min Lin

    (School of Mathematical Sciences, Ocean University of China)

  • Xing Xing Fan

    (School of Mathematical Sciences, Ocean University of China)

  • Gang Wang

    (Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology)

  • Gang Zhao

    (College of Civil Aviation, NanJing University of Aeronautics and Astronautics
    Faculty of Management Engineering, Huaiyin Institute of Technology)

Abstract

Based on the theory of complex network, we construct a recurrence network for earthquake magnitude time series from California. Network structure entropy and its dynamical evolution of the network is studied. It is found that the network structure entropy of the recurrence network exhibits a peculiar behavior: it stays at a small value before main shock, jumps to a great value at the main shock, and then recovers to normal values gradually. The network structure entropy therefore provides us an approach to characterize main shocks quantitatively.

Suggested Citation

  • Min Lin & Xing Xing Fan & Gang Wang & Gang Zhao, 2016. "Network structure entropy and its dynamical evolution for recurrence networks from earthquake magnitude time series," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(5), pages 1-7, May.
    • Handle: RePEc:spr:eurphb:v:89:y:2016:i:5:d:10.1140_epjb_e2016-70004-0
    DOI: 10.1140/epjb/e2016-70004-0
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    Citations

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    Cited by:

    1. Xu, Yanjie & Ren, Tao & Liu, Yiyang & Li, Zhe, 2018. "Earthquake prediction based on community division," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 969-974.
    2. He, Xuan & Wang, Luyang & Zhu, Hongbo & Liu, Zheng, 2021. "Statistical analysis of complex weighted network for seismicity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    3. Fan, Xingxing & Lin, Min, 2017. "Multiscale multifractal detrended fluctuation analysis of earthquake magnitude series of Southern California," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 225-235.

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    Keywords

    Statistical and Nonlinear Physics;

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