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Complex network precursors of crashes and critical events in the cryptocurrency market

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dc.contributor.author Бєлінський, Андрій Олександрович
dc.contributor.author Соловйов, Володимир Миколайович
dc.date.accessioned 2018-12-29T06:45:21Z
dc.date.available 2018-12-29T06:45:21Z
dc.date.issued 2018-12-27
dc.identifier.citation Bielinskyi A. O. Complex network precursors of crashes and critical events in the cryptocurrency market / Andrii O. Bielinskyi, Vladimir N. Soloviev // Computer Science & Software Engineering : Proceedings of the 1st Student Workshop (CS&SE@SW 2018), Kryvyi Rih, Ukraine, November 30, 2018 / Edited by : Arnold E. Kiv, Serhiy O. Semerikov, Vladimir N. Soloviev, Andrii M. Striuk. – P. 41-52. – (CEUR Workshop Proceedings (CEUR-WS.org), Vol. 2292). – Access mode : http://ceur-ws.org/Vol-2292/paper02.pdf uk
dc.identifier.issn 1613-0073
dc.identifier.uri http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/2881
dc.identifier.uri https://doi.org/10.31812/123456789/2881
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dc.description.abstract This article demonstrates the possibility of constructing indicators of critical and crash phenomena in the volatile market of cryptocurrency. For this purpose, the methods of the theory of complex networks have been used. The possibility of constructing dynamic measures of network complexity behaving in a proper way during actual pre-crash periods has been shown. This fact is used to build predictors of crashes and critical events phenomena on the examples of all the patterns recorded in the time series of the key cryptocurrency Bitcoin, the effectiveness of the proposed indicators-precursors of these falls has been identified. uk
dc.language.iso en uk
dc.subject cryptocurrency uk
dc.subject Bitcoin uk
dc.subject complex system uk
dc.subject complex networks uk
dc.subject measures of complexity uk
dc.subject crash uk
dc.subject critical events uk
dc.subject indicator-precursor uk
dc.title Complex network precursors of crashes and critical events in the cryptocurrency market uk
dc.type Article uk


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