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High Order Spatial Weighting Matrix Using Google Trends

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dc.contributor.authorŞIKLAR, İLYAS
dc.contributor.authorAtilla Aslanargun
dc.contributor.authorİlyas Şıklar
dc.contributor.orcid0000-0001-7394-3817
dc.contributor.orcid0000-0003-0691-4615
dc.contributor.orcid0000-0003-3181-2522
dc.date.accessioned2025-11-13T20:39:10Z
dc.date.issued2021-11-29
dc.identifier.doihttps://doi.org/10.52403/ijrr.20211150
dc.identifier.endpage396
dc.identifier.issn2349-9788
dc.identifier.issue11
dc.identifier.openalexW3216606080
dc.identifier.startpage388
dc.identifier.urihttps://hdl.handle.net/11421/12530
dc.identifier.urihttp://doi.org/10.52403/ijrr.20211150
dc.identifier.volume8
dc.language.isoen
dc.relation.ispartofInternational Journal of Research and Review
dc.rightsopenAccess
dc.subjectWeighting
dc.subjectOrder (exchange)
dc.subjectArabic
dc.subjectMatrix (chemical analysis)
dc.subjectCapital (architecture)
dc.subjectComputer science
dc.subjectCenter (category theory)
dc.subjectSpatial analysis
dc.subjectGeography
dc.subjectEconometrics
dc.subjectStatistics
dc.subjectMathematics
dc.subjectEconomics
dc.subjectLinguistics
dc.subjectArchaeology
dc.subjectPhysics
dc.subjectMaterials science
dc.subjectCrystallography
dc.subject.sdg4
dc.titleHigh Order Spatial Weighting Matrix Using Google Trends
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5007658888

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