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Drawing transmission graphs for COVID-19 in the perspective of network science

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dc.contributor.authorNecmi Gürsakal
dc.contributor.authorBATMAZ, BÜLENT
dc.contributor.authorBülent Batmaz
dc.contributor.authorGamze Aktuna
dc.contributor.orcid0000-0002-7909-3734
dc.contributor.orcid0000-0003-4706-5808
dc.contributor.orcid0000-0003-4575-7763
dc.date.accessioned2025-11-13T20:34:22Z
dc.date.issued2020-08-14
dc.identifier.doihttps://doi.org/10.1101/2020.08.11.20172908
dc.identifier.openalexW3048900804
dc.identifier.urihttps://hdl.handle.net/11421/12248
dc.identifier.urihttps://doi.org/10.1101/2020.08.11.20172908
dc.language.isoen
dc.relation.ispartofbioRxiv (Cold Spring Harbor Laboratory)
dc.rightsopenAccess
dc.subjectPareto distribution
dc.subjectTransmission (telecommunications)
dc.subjectDistribution (mathematics)
dc.subjectComputer science
dc.subjectCentrality
dc.subjectPareto principle
dc.subjectCoronavirus disease 2019 (COVID-19)
dc.subjectPerspective (graphical)
dc.subjectMathematical optimization
dc.subjectEconometrics
dc.subjectMathematics
dc.subjectStatistics
dc.subjectTelecommunications
dc.subjectArtificial intelligence
dc.subjectMathematical analysis
dc.subject.sdg3
dc.titleDrawing transmission graphs for COVID-19 in the perspective of network science
dc.typepreprint
dspace.entity.typePublication
local.authorid.openalexA5063139427

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