Results 161 to 170 of about 820 (209)

Exploring Social Influence on Location-Based Social Networks

2014 IEEE International Conference on Data Mining, 2014
Recently, with the advent of location-based social networking services (LBSNs), travel planning and location-aware information recommendation based on LBSNs have attracted much research attention. In this paper, we study the impact of social relations hidden in LBSNs, i.e., The social influence of friends.
Yu Ting Wen, Po-Ruey Lei, Wen-Chih Peng, Xiaofang Zhou 0001   +3 more
openaire   +2 more sources

Location Influence in Location-based Social Networks

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Location-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.
Muhammad Aamir Saleem, Rohit Kumar 0002, Toon Calders, Xike Xie, Torben Bach Pedersen   +4 more
openaire   +2 more sources

Recommendations in location-based social networks: a survey

GeoInformatica, 2015
Recent advances in localization techniques have fundamentally enhanced social networking services, allowing users to share their locations and location-related contents, such as geo-tagged photos and notes. We refer to these social networks as location-based social networks (LBSNs).
Jie Bao 0003, Yu Zheng 0004, David Wilkie, Mohamed F. Mokbel   +3 more
openaire   +1 more source

Location-Based Social Networks

2014
Location-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
openaire   +2 more sources

Venue attacks in location-based social networks

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Privacy in Geographic Information Collection and Analysis, 2014
Location-Based Social Networks (LBSNs), such as Foursquare, Yelp and Facebook Place, have attracted many people, including business owners who use LBSNs to promote their businesses. A physical location is called a venue or a place of interest in an LBSN.
Lei Jin 0003, Hassan Takabi
openaire   +1 more source

Location-Based Influence Maximization in Social Networks

Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 2015
In this paper, we aim at the product promotion in O2O model and carry out the research of location-based influence maximization on the platform of LBSN. As offline consuming behavior exists under the O2O environment, the traditional online influence diffusion model could not describe the product acceptance accurately.
Tao Zhou, Jiuxin Cao, Bo Liu 0004, Shuai Xu, Ziqing Zhu, Junzhou Luo   +5 more
openaire   +1 more source

Location-Based Social Networks

2012
The 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
openaire   +1 more source

Workload characterization of a location-based social network

Social Network Analysis and Mining, 2014
Recently, there has been a large popularization of location-based social networks, such as Foursquare and Apontador, in which users can share their current locations, upload tips and make comments about places. Part of this popularity is due to facility access to the Internet through mobile devices with GPS.
Theo Lins, Adriano César Machado Pereira, Fabrício Benevenuto   +2 more
openaire   +1 more source

Location recommendation for location-based social networks

Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2010
In this paper, we study the research issues in realizing location recommendation services for large-scale location-based social networks, by exploiting the social and geographical characteristics of users and locations/places. Through our analysis on a dataset collected from Foursquare, a popular location-based social networking system, we observe that
Mao Ye 0002, Peifeng Yin, Wang-Chien Lee
openaire   +1 more source

GeoLife2.0: A Location-Based Social Networking Service

2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, 2009
GeoLife2.0 is a GPS-data-driven social networking service where people can share life experiences and connect to each other with their location histories. By mining people’s location history, GeoLife can measure the similarity between users and perform personalized friend recommendation for an individual. Later, we can predict the individual’s interest
Yu Zheng 0004, Yukun Chen, Xing Xie 0001, Wei-Ying Ma   +3 more
openaire   +1 more source