Discovering socially important locations of social media users

dc.authoridDokuz, Ahmet Sakir/0000-0002-1775-0954
dc.authoridCelik, Mete/0000-0002-1488-1502
dc.contributor.authorDokuz, Ahmet Sakir
dc.contributor.authorCelik, Mete
dc.date.accessioned2024-11-07T13:31:22Z
dc.date.available2024-11-07T13:31:22Z
dc.date.issued2017
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractSocially important locations are places that are frequently visited by social media users in their social media life. Discovering socially interesting, popular or important locations from a location based social network has recently become important for recommender systems, targeted advertisement applications, and urban planning, etc. However, discovering socially important locations from a social network is challenging due to the data size and variety, spatial and temporal dimensions of the datasets, the need for developing computationally efficient approaches, and the difficulty of modeling human behavior. In the literature, several studies are conducted for discovering socially important locations. However, majority of these studies focused on discovering locations without considering historical data of social media users. They focused on analysis of data of social groups without considering each user's preferences in these groups. In this study, we proposed a method and interest measures to discover socially important locations that consider historical user data and each user's (individual's) preferences. The proposed algorithm was compared with a naive alternative using real-life Twitter dataset. The results showed that the proposed algorithm outperforms the naive alternative. (C) 2017 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.eswa.2017.05.068
dc.identifier.endpage124
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.scopus2-s2.0-85020049640
dc.identifier.scopusqualityQ1
dc.identifier.startpage113
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2017.05.068
dc.identifier.urihttps://hdl.handle.net/11480/14800
dc.identifier.volume86
dc.identifier.wosWOS:000405973500010
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofExpert Systems With Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectSocially important locations mining
dc.subjectSpatial social media mining
dc.subjectHistorical social media data analysis
dc.subjectSocial media networking sites
dc.subjectTwitter
dc.titleDiscovering socially important locations of social media users
dc.typeArticle

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