Results 41 to 50 of about 817 (198)
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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Adversarial Mobility Learning for Human Trajectory Classification
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]
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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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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Friendship prediction model based on factor graphs integrating geographical location
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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Inferring Location Types With Geo-Social-Temporal Pattern Mining
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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Semantic Annotation for Places in LBSN through Graph Embedding [PDF]
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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Big Data Analysis to Observe Check-in Behavior Using Location-Based Social Media Data
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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Exploring the applications and limitations of location-based social network data in urban spatiotemporal analysis [PDF]
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
core +1 more source
Due to its relatively high availability and low cost, location-based social network (LBSN) (e.g., Foursquare) data (a popular type of volunteered geographic information) seem to be an alternative or complement to survey data in the study of travel ...
Yeran Sun, Ming Li
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