Results 41 to 50 of about 687 (209)
Exploring the applications and limitations of location-based social network data in urban spatiotemporal analysis [PDF]
, 2021 Premi Extraordinari de Doctorat 2023 (promoció del curs 2020-2021), àmbit d'Arquitectura, Edificació i UrbanismeNowadays, the widespread utilization of intelligent mobile and located-embedded services extends the border of social network sites (SNS) to ...
Yang, Liya
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Semantic Annotation for Places in LBSN through Graph Embedding [PDF]
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017 With the prevalence of location-based social networks (LBSNs), automated semantic annotation for places plays a critical role in many LBSN-related applications. Although a line of research continues to enhance labeling accuracy, there is still a lot of room for improvement. The crucial problem is to find a high-quality representation for each place. In
Yan Wang 0014 +4 more
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Revisiting city tourism in the longer run: an exploratory analysis based on LBSN data
, 2023 This study addresses the methodological gap in tourism research regarding the long-term monitoring of tourism activities in urban settings. We propose an analytical framework that uses data from location-based social networks (LBSN) to derive tourists’
Rocha, Jorge +5 more
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IEEE Access, 2019 Cyber security significantly relies on the dynamic communities in social networks. The location-based social network (LBSN) is a new type of social system that has sprung up recently that.
Jiuxin Cao +6 more
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Inferring Location Types With Geo-Social-Temporal Pattern Mining
IEEE Access, 2020 With a rapid growth in the global population, the modern world is undergoing a rapid expansion of residential areas, especially in urban centres. This continuously demands for increased general services and basic amenities, which are required according ...
Tarique Anwar +5 more
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Journal of Transport and Land Use, 2019 Location-based social networks (LBSN) are social media sites where users check-in at venues and share content linked to their geo-locations. LBSN, considered to be a novel data source, contain valuable information for urban planners and researchers ...
Haluk Laman +2 more
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Adversarial Mobility Learning for Human Trajectory Classification
IEEE Access, 2020 Understanding human mobility is one of the important but challenging tasks in Location-based Social Networks (LBSN). Recently, a user mobility mining task called Trajectory User Linking (TUL) has become an essential and popular topic, aiming at ...
Qiang Gao +5 more
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Blockchain-Enabled Privacy-Preserving Location Sharing Scheme for LBSNs [PDF]
Mobile Information Systems, 2021 The rise of Internet of Things (IoT) technology promotes the rapid development of location services industry. The idea of smart connectivity also provides a new direction for Location-Based Social Networks (LBSNs). However, due to limited calculate ability and internal storage space of IoT devices, historical location data of users is generally stored ...
Liang Zhu +4 more
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Friendship prediction model based on factor graphs integrating geographical location
CAAI Transactions on Intelligence Technology, 2020 With the development of network services and location-based systems, many mobile applications begin to use users’ geographical location to provide better services. In terms of social networks, geographical location is actively shared by users.
Liang Chen +7 more
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Big Data Analysis to Observe Check-in Behavior Using Location-Based Social Media Data
Information, 2018 With rapid advancement in location-based services (LBS), their acquisition has become a powerful tool to link people with similar interests across long distances, as well as connecting family and friends.
Muhammad Rizwan, Wanggen Wan
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