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Location-Based Social Network Analysis
Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018Shenglin Zhao
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A Heterogeneous Graph Embedding Framework for Location-Based Social Network Analysis in Smart Cities
IEEE Transactions on Industrial Informatics, 2020In recent years, with the advancement of wireless communication and location acquisition technology in the context of modern smart cities, and the increasing popularity of mobile devices with location capabilities based on Social Internet of Things, we ...
Yazi Wang +4 more
semanticscholar +1 more source
A Concept of Location-Based Social Network Marketing
Journal of Travel and Tourism Marketing, 2012Iis P. Tussyadiah
semanticscholar +3 more sources
Information Processing & Management, 2020
Learning latent representations for users and points of interests (POIs) is an important task in location-based social networks (LBSN), which could largely benefit multiple location-based services, such as POI recommendation and social link prediction ...
Yaqiong Qiao +4 more
semanticscholar +1 more source
Learning latent representations for users and points of interests (POIs) is an important task in location-based social networks (LBSN), which could largely benefit multiple location-based services, such as POI recommendation and social link prediction ...
Yaqiong Qiao +4 more
semanticscholar +1 more source
Using multi-features to partition users for friends recommendation in location based social network
Information Processing & Management, 2020Friend recommendation is an important feature of social network applications to help people make new friends and expand their social circles. However, the user-location and user-user information in location based social network are both too sparse which ...
Mingjun Xin, Lijun Wu
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Location-Based Social Networks
2014Location-based Social Networks (LBSNs) can be considered as a special Online Social Network (OSN) category. Actually, an LBSN has the same OSN’s properties, but considers location as the core object of its structure. This chapter initially provides some definitions and basic services that are offered by LBSNs, a brief literature review, and two ...
Wang-Chien Lee, Mao Ye
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Predicting Visitors Using Location-Based Social Networks
2018 19th IEEE International Conference on Mobile Data Management (MDM), 2018Location-based social networks (LBSN) are social networks complemented with users' location data, such as geo-tagged activity data. Predicting such activities finds application in marketing, recommendation systems, and logistics management. In this paper, we exploit LBSN data to predict future visitors at given locations. We fetch the travel history of
Saleem, Muhammad +5 more
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Urban Computing Leveraging Location-Based Social Network Data
ACM Computing Surveys, 2019Urban computing is an emerging area of investigation in which researchers study cities using digital data. Location-Based Social Networks (LBSNs) generate one specific type of digital data that offers unprecedented geographic and temporal resolutions. We
Thiago H. Silva +6 more
semanticscholar +1 more source
Location Influence in Location-based Social Networks
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017Location-based social networks (LBSN) are social networks complemented with location data such as geo-tagged activ- ity data of its users. In this paper, we study how users of a LBSN are navigating between locations and based on this information we select the most influential locations.
Saleem, Muhammad Aamir +4 more
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Location-Based Social Networks
2012The ability to gather and manipulate real world contextual data, such as user location, in modern software systems presents opportunities for new and exciting application areas. A key focus among those working in the area of Location-Based services today has been the creation of social networks which allow mobile device users to exchange details of ...
Declan Traynor, Kevin Curran
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