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Asymptotic degree distribution in a homogeneous evolving network model

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  • Feng, Qunqiang
  • Li, Xing
  • Hu, Zhishui

Abstract

In this paper we propose an evolving network model, which is a randomized version of the pseudofractal graphs by introducing an evolutionary parameter 0

Suggested Citation

  • Feng, Qunqiang & Li, Xing & Hu, Zhishui, 2023. "Asymptotic degree distribution in a homogeneous evolving network model," Statistics & Probability Letters, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:stapro:v:193:y:2023:i:c:s016771522200253x
    DOI: 10.1016/j.spl.2022.109740
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    References listed on IDEAS

    as
    1. Komjáthy, Júlia & Simon, Károly, 2011. "Generating hierarchial scale-free graphs from fractals," Chaos, Solitons & Fractals, Elsevier, vol. 44(8), pages 651-666.
    2. Zhang, Zhongzhi & Rong, Lili & Guo, Chonghui, 2006. "A deterministic small-world network created by edge iterations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(2), pages 567-572.
    3. István Fazekas & Attila Barta, 2021. "A Continuous-Time Network Evolution Model Describing 2- and 3-Interactions," Mathematics, MDPI, vol. 9(23), pages 1-26, December.
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