Results 261 to 270 of about 231,718 (305)

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-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

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-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

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

Secure hitch in location based social networks

Computer Communications, 2017
We propose a privacy-preserving proximity based location query (PPLQ) protocol, which enables each querier to get the location information of publisher without violating users location privacy.The proposed protocol utilizes prefix membership verification and predicate encryption technique to achieve the secure multi-dimensional keyword search and ...
Shiwen Zhang 0004, Yaping Lin, Qin Liu 0001, Junqiang Jiang, Bo Yin 0004, Kim-Kwang Raymond Choo   +5 more
openaire   +1 more source

Providing recommendations on location-based social networks

Journal of Ambient Intelligence and Humanized Computing, 2016
During the last decade, in parallel with the rapid growth of mobile communications and devices, location-based social networks have met a tremendous growth with the acceptance of the public being constantly increasing. Users have access to a plethora of venues and points of interest, while they are able to share their visits to various locations along ...
Pavlos Kosmides, Konstantinos P. Demestichas, Evgenia F. Adamopoulou, Chara Remoundou, Ioannis V. Loumiotis, Michael E. Theologou, Miltiades E. Anagnostou   +6 more
openaire   +1 more source