Exploring Key Properties and Predicting Price Movements of Cryptocurrency Market Using Social Network Analysis-Reference-Cited by-同舟云学术

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Exploring Key Properties and Predicting Price Movements of Cryptocurrency Market Using Social Network Analysis

Published:2024 Issue: Volume:12 Page:65058-65077
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ho Kin-Hon¹^ORCID,Hou Yun²,Georgiades Michael³^ORCID,Fong Ken C. K.⁴

Affiliation:

1. Department of Business Administration, Hong Kong Shue Yan University, Hong Kong, SAR, China

2. Department of Computer Science, The Hang Seng University of Hong Kong, Hong Kong, SAR, China

3. Department of Computer Science, Intelligent Systems Laboratory (ISLab), Neapolis University Pafos, Paphos, Cyprus

4. School of Data Science, Division of Artificial Intelligence, Lingnan University, Hong Kong, SAR, China

Funder

Research Matching Grant Scheme (RMGS) through the Research Grants Council of Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10521656.pdf?arnumber=10521656

Reference40 articles.

1. A Review of Two Decades of Correlations, Hierarchies, Networks and Clustering in Financial Markets

2. Corporate Communication Network and Stock Price Movements: Insights From Data Mining

3. Generalized Optimal Game Theory in virtual decision-makings

4. Exploring the interconnectedness of cryptocurrencies using correlation networks;Burnie

5. The cryptocurrency market: A network analysis

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