Results 251 to 260 of about 1,010,893 (298)

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-Based Social Networks: Locations

2011
While chapter 8 studies the research philosophy behind a location-based social network (LBSN) from the point of view of users, this chapter gradually explores the research into LBSNs from the perspective of locations. A series of research topics are presented, with respect to mining the collective social knowledge from many users' GPS trajectories to ...
Yu Zheng, Xing Xie
openaire   +1 more source

Extracting urban patterns from location-based social networks

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks, 2011
Social networks attract lots of new users every day and absorb from them information about events and facts happening in the real world. The exploitation of this information can help identifying mobility patterns that occur in an urban environment as well as produce services to take advantage of social commonalities between people. In this paper we set
FERRARI, Laura, ROSI, Alberto, MAMEI, Marco, ZAMBONELLI, Franco   +3 more
openaire   +1 more source

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, Xiao-Fang Zhou   +3 more
openaire   +1 more source

Enhancing opportunistic networking using location based social networks

Proceedings of the 8th ACM International Workshop on Hot Topics in Planet-scale mObile computing and online Social neTworking, 2016
The wireless communication capabilities of mobile devices have evolved rapidly during the last decade. Exploiting the various connectivity technologies available devices are capable of forming intermittently connected networks; in these networks, defined as Mobile Opportunistic Networks (MONs), a multitude of mobile devices are carried by people and ...
Lambrinos, Lambros, Kosmides, Pavlos
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, 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, Shuai Xu, Ziqing Zhu, Junzhou Luo   +5 more
openaire   +1 more source

Analysis of a Location-Based Social Network

2009 International Conference on Computational Science and Engineering, 2009
Location-based Social Networks (LSNs) allow users to see where their friends are, to search location-tagged contentwithin their social graph, and to meet others nearby. The recent availability of open mobile platforms, such as Apple iPhones and Google Android phones, makes LSNs much more accessible to mobile users.To study how users share their ...
Nan Li, Guanling Chen
openaire   +1 more source

Location-Based Social Networks: Users

2011
In this chapter, we introduce and define the meaning of location-based social network (LBSN) and discuss the research philosophy behind LBSNs from the perspective of users and locations. Under the circumstances of trajectory-centric LBSN, we then explore two fundamental research points concerned with understanding users in terms of their locations. One
openaire   +1 more source

SocialTrail:Recommending Social Trajectories from Location-Based Social Networks

2015
Trajectory recommendation plays an important role for travel planning. Most existing systems are mainly designed for spot recommendation without the understanding of the overall trip and tend to utilize homogeneous data only (e.g., geo-tagged images).
Qinzhe Zhang, Litao Yu, Guodong Long
openaire   +1 more source