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Phase synchronization in cryptocurrency network and its features

Author

Listed:
  • Sheida Ansarinasab

    (Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran)

  • Farnaz Ghassemi

    (Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran)

  • Fahimeh Nazarimehr

    (Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran)

  • Dibakar Ghosh

    (Physics and Applied Mathematics Unit, Indian Statistical Institute, 203 Barrackpore Trunk Road, Kolkata 700108, India)

  • Sajad Jafari

    (Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran3Health Technology Research Institute, Amirkabir University of Technology, Tehran, Iran)

Abstract

Investigating the time–frequency-based phase synchronization between nonstationary time series of the cryptocurrencies’ prices can be a suitable tool to reveal their complicated interactions at different frequencies. In this work, the phase synchronization between 25 cryptocurrencies with the highest capitalization from December 1, 2021 to June 1, 2022 is calculated using the phase-locking value method based on wavelet transform. Then, utilizing the graph theory, the cryptocurrency networks are constructed, and their topological features like path length (PL), clustering coefficient (CC) and node strength are evaluated in various frequencies. This research indicates a strong phase synchronization between the investigated cryptocurrencies, especially in low frequencies. Also, the networks’ high average CC and short PL compared to their equivalent regular and random networks display the small-worldness of the networks. We observe from the obtained results that Bitcoin, Ethereum and Binance currencies, among the most popular cryptocurrencies, have the highest average node strengths at different frequencies. Also, TRON shows the lowest CC and node strength among all currencies, representing its limited phase interaction with other currencies.

Suggested Citation

  • Sheida Ansarinasab & Farnaz Ghassemi & Fahimeh Nazarimehr & Dibakar Ghosh & Sajad Jafari, 2024. "Phase synchronization in cryptocurrency network and its features," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 35(02), pages 1-21, February.
    • Handle: RePEc:wsi:ijmpcx:v:35:y:2024:i:02:n:s0129183124500189
    DOI: 10.1142/S0129183124500189
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