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In this context, combining the spillover index method introduced by Diebold and Yilmaz (2012) and the complex network analysis framework, we examined the volatility connectedness and the topological structure among the top ten cryptocurrencies before and during the COVID\u201019 crisis. The results revealed that the total volatility connectedness of the cryptocurrency market markedly increased following the outbreak of COVID\u201019; statically, Bitcoin, Ethereum, Cardano, and Bitcoin Cash were the net transmitters before COVID\u201019, while Bitcoin, Ethereum, Ripple, Litecoin, Cardano, and Stellar became the major net transmitters in the market after COVID\u201019. Dynamically, the dynamic performance of different cryptocurrencies during the COVID\u201019 pandemic was heterogeneous, and the possible driving factors are diverse. Moreover, from network analysis, we further found that the COVID\u201019 crisis has significantly changed the topological structure of the cryptocurrency market. Our findings may help understand the typical dynamics in the cryptocurrency market and provide significant implications for portfolio managers, investors, and government agencies in times of highly stressful events like the COVID\u201019 crisis.<\/jats:p>","DOI":"10.1155\/2022\/5346080","type":"journal-article","created":{"date-parts":[[2022,5,19]],"date-time":"2022-05-19T19:05:54Z","timestamp":1652987154000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Impacts of COVID\u201019 on the Return and Volatility Nexus among Cryptocurrency Market"],"prefix":"10.1155","volume":"2022","author":[{"given":"Xin","family":"Sui","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guifen","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanchong","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaohan","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6218-7462","authenticated-orcid":false,"given":"Yanshuang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,5,19]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"publisher","DOI":"10.1080\/00036846.2021.1899119"},{"key":"e_1_2_11_2_2","first-page":"78","article-title":"Asymmetric nexus between COVID-19 outbreak in the world and cryptocurrency market","author":"Najaf I.","year":"2020","journal-title":"Elsevier"},{"key":"e_1_2_11_3_2","article-title":"Quantitative easing and volatility spillovers across countries and asset classes","volume":"63","author":"Yang Z.","year":"2016","journal-title":"Management Science"},{"key":"e_1_2_11_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.irfa.2013.03.002"},{"key":"e_1_2_11_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.iref.2019.07.004"},{"key":"e_1_2_11_6_2","doi-asserted-by":"publisher","DOI":"10.1080\/02529203.2020.1766239"},{"key":"e_1_2_11_7_2","doi-asserted-by":"publisher","DOI":"10.1177\/0976399620952354"},{"key":"e_1_2_11_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.frl.2019.04.007"},{"key":"e_1_2_11_9_2","doi-asserted-by":"publisher","DOI":"10.3390\/e22050522"},{"key":"e_1_2_11_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.resourpol.2019.101509"},{"key":"e_1_2_11_11_2","doi-asserted-by":"publisher","DOI":"10.1111\/0022-1082.00494"},{"key":"e_1_2_11_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.irfa.2021.101784"},{"key":"e_1_2_11_13_2","article-title":"Bitcoin: a bit too far?[J]","volume":"16","author":"Jacobs E.","year":"2011","journal-title":"Journal of Banking and Commerce"},{"key":"e_1_2_11_14_2","article-title":"Regulating digital currencies: bring bitcoin within the reach of the IMF[J]","volume":"14","author":"Plassaras N. 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