Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/10273
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dc.contributor.authorDr. HO Kin-Hon, Royen_US
dc.contributor.authorHou, Yunen_US
dc.contributor.authorGeorgiades, Michaelen_US
dc.contributor.authorFong, Ken C. K.en_US
dc.date.accessioned2024-07-08T02:23:19Z-
dc.date.available2024-07-08T02:23:19Z-
dc.date.issued2024-
dc.identifier.citationIEEE Access, 2024, vol. 12, pp. 65058-65077.en_US
dc.identifier.issn2169-3536-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/10273-
dc.descriptionOpen accessen_US
dc.description.abstractThe emerging cryptocurrency market is one of the largest financial markets in the world, with a market capitalization that is already surpassing the gross domestic product of many developed economies. Cryptocurrencies are increasingly being adopted as a means of transaction and ownership in the digital domain, particularly in areas like decentralized finance and non-fungible tokens. Known for its high volatility, this market offers investors the potential for higher returns than traditional financial markets like stocks, foreign exchange, and commodities. However, it remains underexplored in academic research. In this paper, we propose the use of social network analysis to effectively model and analyze the cryptocurrency market and conduct a comprehensive numerical study to explore its key properties, including correlation structure, topological characteristics, stability, and influence. Furthermore, we propose the use of centrality measures as novel indicators to improve the accuracy of cryptocurrency price movement predictions. Our research introduces a novel method for understanding and navigating the cryptocurrency market, enabling investors to integrate advanced analytical tools into their decision-making processes.en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Accessen_US
dc.titleExploring key properties and predicting price movements of cryptocurrency market using social network analysisen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1109/ACCESS.2024.3397723-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Business Administration-
Appears in Collections:Business Administration - Publication
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