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dc.contributor.authorHatipoğlu, Veysel Fuat
dc.date.accessioned2021-03-25T06:21:16Z
dc.date.available2021-03-25T06:21:16Z
dc.date.issued2021en_US
dc.identifier.citationHatipoglu, V. F. (2021). Understanding the impact of COVID–19 on global financial network using graph based algorithm: Minimum spanning tree approach. Foundations of Computing and Decision Sciences, 46(1), 111-123. doi:10.2478/fcds-2021-0008en_US
dc.identifier.issn0867-6356
dc.identifier.issn2300-3405
dc.identifier.urihttps://doi.org/10.2478/fcds-2021-0008
dc.identifier.urihttps://hdl.handle.net/20.500.12809/9090
dc.description.abstractIn this paper effects of COVID–19 pandemic on stock market network are analyzed by an application of operational research with a mathematical approach. For this purpose two minimum spanning trees for each time period namely before and during COVID–19 pandemic are constructed. Dynamic time warping algorithm is used to measure the similarity between each time series of the investigated stock markets. Then, clusters of investigated stock markets are constructed. Numerical values of the topology evaluation for each cluster and time period is computed. © 2021 Sciendo. All rights reserveden_US
dc.item-language.isoengen_US
dc.publisherSciendoen_US
dc.relation.isversionof10.2478/fcds-2021-0008en_US
dc.item-rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBig dataen_US
dc.subjectBig data analysisen_US
dc.subjectMinimum spanning treeen_US
dc.subjectCOVID-19en_US
dc.subjectDynamic time warpingen_US
dc.subjectStock marketen_US
dc.titleUnderstanding the Impact of COVID–19 on Global Financial Network Using Graph Based Algorithm: Minimum Spanning Tree Approachen_US
dc.item-typearticleen_US
dc.contributor.departmentMÜ, Fethiye İşletme Fakültesi, İşletme Bölümüen_US
dc.contributor.authorID0000-0003-2156-8781en_US
dc.contributor.institutionauthorHatipoğlu, Veysel, Fuat
dc.identifier.volume46en_US
dc.identifier.issue1en_US
dc.identifier.startpage111en_US
dc.identifier.endpage123en_US
dc.relation.journalFoundations of Computing and Decision Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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