Dr. HO Kin-Hon, RoyRoyDr. HO Kin-HonChiu, Wai HanWai HanChiuLi, ChinChinLi2024-03-182024-03-182021Ho, Kin Hon, Chiu, Wai Han & Li, Chin (2021). A network analysis of the cryptocurrency market. In IEEE (Ed.). 2020 IEEE Symposium Series on Computational Intelligence (SSCI). 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, ACT, Australia. IEEE.978172812547397817281254669781728125480http://hdl.handle.net/20.500.11861/9064In this study, we conduct a network analysis with centrality measures, using historical daily close prices of top 120 cryptocurrencies between 2013 and 2020, to study and understand the dynamic evolution and characteristics of the cryptocurrency market. Our study has two primary findings: (1) the overall cross-return correlation among the cryptocurrencies is weakening from 2013 to 2016 and then strengthening thereafter; (2) cryptocurrencies that are primarily used for transaction payment, notably BTC, dominate the market until mid-2016, followed by those developed for applications using blockchain as the underlying technology, particularly data storage and recording such as MAID and FCT, between mid-2016 and mid-2017. Since then, ETH, alongside with its strongly correlated cryptocurrencies have replaced BTC to become the benchmark cryptocurrencies. Furthermore, during COVID-19, QTUM and BNB have intermittently replaced ETH to take the leading positions due to their active community engagement during the pandemic.enNetwork AnalysisCryptocurrenciesCryptocurrency MarketStrongly CorrelatedData StorageEvolutionary DynamicsCentrality MeasuresMarket DevelopmentCommunity Engagement ActivitiesTime WindowRecord DataShortest PathMean CorrelationCentral NodeStep LengthDegree DistributionNeighboring NodesSpecific Time PeriodBetweenness CentralityDegree CentralitySmart ContractsImportant NodesNetwork Construction MethodReturn CorrelationsMarket CapitalizationInfluential NodesTrading DaysAverage Path LengthEigenvector CentralityNode StrengthA network analysis of the cryptocurrency marketConference Paper10.1109/SSCI47803.2020.9308282