The prediction of fusion degree of International groups from their Twitter accounts

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dc.contributor.authorAbbas, Ahmed K.
dc.contributor.authorMohammed, Tareq Abed
dc.contributor.authorBayat, Oğuz
dc.contributor.authorUçan, Osman Nuri
dc.contributor.authorBayat, Oğuz
dc.contributor.authorAbbas, Ahmed K.
dc.contributor.authorMohammed, Tareq Abed
dc.date.accessioned2021-05-15T12:36:52Z
dc.date.available2021-05-15T12:36:52Z
dc.date.issued2017
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionInternational Conference on Engineering and Technology (ICET) -- AUG 21-23, 2017 -- Akdeniz Univ, Antalya, TURKEY
dc.descriptionAbbas, ahmed/0000-0001-9514-6763; Al-Abadi, Ahmed Kh. Abbas/0000-0002-4249-3443
dc.description.abstractRecently, social media has had a tremendous impact on our life and culture. Most of people enter the social media websites every day to do several things which makes them the most popular data sources on the Internet. According to this increasing impact of social media, many research works have done to study these websites, analyze them and predict useful information from them. Twitter is one of most popular and widely used social media network in the world. In this paper, a new efficient algorithm is proposed to solve society problem that does not discussed before which is the fusion degree of international groups on their new countries. During the many wars, political problems and other personal situations, many people changing their places and try to find better life in other countries. Therefore, it becomes very important for those new countries to simplify that task as can as possible and continuously follow the fusion process of those new coming persons in the society. The proposed algorithm in this paper will measure the fusion degree of international groups automatically from their twitter accounts. The proposed algorithm uses some features from the Twitter public information to estimate this degree. As a case study the new algorithm was applied on Arabic people in Turkey.en_US
dc.description.sponsorshipIARES, IEEEen_US
dc.identifier.isbn978-1-5386-1949-0
dc.identifier.issn2380-9345
dc.identifier.scopus2-s2.0-85047860890
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12939/422
dc.identifier.wosWOS:000454987100047
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorUçan, Osman Nuri
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof2017 International Conference on Engineering and Technology (Icet)
dc.relation.ispartofseriesInternational Conference on Engineering and Technology
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTwitteren_US
dc.subjectSocial Networksen_US
dc.subjectFollowersen_US
dc.subjectFriendsen_US
dc.subjectSocial Fusionen_US
dc.titleThe prediction of fusion degree of International groups from their Twitter accounts
dc.typeConference Object

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Bilgisayar Mühendisliği Bölümü Koleksiyonu
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