Estimation of Twitter user's nationality based on friends and followers information

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dc.contributor.authorAbbas, Ahmed K.
dc.contributor.authorBayat, Oğuz
dc.contributor.authorUçan, Osman Nuri
dc.date.accessioned2021-05-15T12:41:57Z
dc.date.available2021-05-15T12:41:57Z
dc.date.issued2018
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Elektrik - Elektronik Mühendisliği Bölümüen_US
dc.descriptionAl-Abadi, Ahmed Kh. Abbas/0000-0002-4249-3443
dc.description.abstractBig Data has become very useful in many fields since it provides answers to many important questions that can significantly enhance decision making and process optimization. One of the most interesting domains in big data is the prediction of human features, facts and behaviors. In this paper a new and effective algorithm to predict the nationality of Twitter users is proposed. The proposed algorithm tries to prognosticate the Twitter user's location from their friend's location information only without needing GPS information. Although only approximately 30% of Twitter users write their location information in meaningful form, this paper proves that this percentage is enough to determine the nationality of any Twitter user correctly. The proposed algorithm is applied to estimate the thresholds that will be used to determine the nationality of Twitter users. The results show that our algorithm can correctly classify an average of 90% of the Twitter users. (C) 2017 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.compeleceng.2017.06.033
dc.identifier.endpage530en_US
dc.identifier.issn0045-7906
dc.identifier.issn1879-0755
dc.identifier.scopus2-s2.0-85028723734
dc.identifier.scopusqualityQ1
dc.identifier.startpage517en_US
dc.identifier.urihttps://doi.org/10.1016/j.compeleceng.2017.06.033
dc.identifier.urihttps://hdl.handle.net/20.500.12939/876
dc.identifier.volume66en_US
dc.identifier.wosWOS:000429760300039
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorUçan, Osman Nuri
dc.institutionauthorBayat, Oğuz
dc.institutionauthorAbbas, Ahmed K.
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofComputers & Electrical Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSocial Media Analyzingen_US
dc.subjectLocation Predictionen_US
dc.subjectTwitter User Locationen_US
dc.subjectKNIMEen_US
dc.subjectNationality Predictionen_US
dc.subjectBig Data Analyzingen_US
dc.titleEstimation of Twitter user's nationality based on friends and followers information
dc.typeArticle

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WoS İndeksli Yayınlar Koleksiyonu
Elektrik - Elektronik Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu