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Horizontal visibility graphs mapped from multifractal trinomial measures

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  • Hu, Xiaohua
  • Niu, Min

Abstract

In this paper, we study the horizontal visibility graphs mapped from multifractal trinomial measures, which are determined by three parameters, p1, p2, and p3, where 0p22, and p1p3

Suggested Citation

  • Hu, Xiaohua & Niu, Min, 2023. "Horizontal visibility graphs mapped from multifractal trinomial measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    • Handle: RePEc:eee:phsmap:v:626:y:2023:i:c:s0378437123006489
    DOI: 10.1016/j.physa.2023.129093
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    References listed on IDEAS

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    1. Han, Mengjiao & Fan, Qingju & Ling, Guang, 2022. "Multiscale online-horizontal-visibility-graph correlation analysis of financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    2. Li, Sange & Shang, Pengjian, 2021. "Analysis of nonlinear time series using discrete generalized past entropy based on amplitude difference distribution of horizontal visibility graph," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    3. Chen, Chen & Lu, Jun-an & Wu, Xiaoqun, 2010. "Complex networks constructed from irrational number sequences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(13), pages 2654-2662.
    4. Sulaimany, Sadegh & Mafakheri, Aso, 2023. "Visibility graph analysis of web server log files," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    5. Xie, Wen-Jie & Zhou, Wei-Xing, 2011. "Horizontal visibility graphs transformed from fractional Brownian motions: Topological properties versus the Hurst index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3592-3601.
    6. Yang, Yue & Yang, Huijie, 2008. "Complex network-based time series analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(5), pages 1381-1386.
    7. Bai, Shiwei & Niu, Min, 2022. "The visibility graph of n-bonacci sequence," Chaos, Solitons & Fractals, Elsevier, vol. 163(C).
    8. Bezsudnov, I.V. & Snarskii, A.A., 2014. "From the time series to the complex networks: The parametric natural visibility graph," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 53-60.
    9. Bellingeri, M. & Bevacqua, D. & Scotognella, F. & LU, Zhe-Ming & Cassi, D., 2018. "Efficacy of local attack strategies on the Beijing road complex weighted network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 316-328.
    10. Wang, Minggang & Xu, Hua & Tian, Lixin & Eugene Stanley, H., 2018. "Degree distributions and motif profiles of limited penetrable horizontal visibility graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 620-634.
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