Discovering socially important locations of social media users
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pergamon-Elsevier Science Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Socially 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.
Açıklama
Anahtar Kelimeler
Socially important locations mining, Spatial social media mining, Historical social media data analysis, Social media networking sites, Twitter
Kaynak
Expert Systems With Applications
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
86
