Results 131 to 140 of about 232 (178)

Towards reliable spatial information in LBSNs

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012
The proliferation of Location-based Social Networks (LBSNs) has been rapid during the last year due to the number of novel services they can support. The main interaction between users in an LBSN is location sharing, which builds the spatial component of the system.
Ke Zhang 0013, Wei Jeng, Francis Fofie, Konstantinos Pelechrinis, Prashant Krishnamurthy   +4 more
openaire   +1 more source

A model for profit maximization in LBSNs

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA), 2016
Profit Maximization is the problem of finding an optimal strategy to maximize the expected total profit earned by the end of an influence diffusion process under a given propagation model. In the previous works the strategy of influencing the most profitable (influential) users in a social network in order to start the viral marketing campaign has been
Mahnoosh Fatahi, Farhad Mardukhi
openaire   +1 more source

LBSN-Based Personalized Routes Recommendation

Applied Mechanics and Materials, 2014
In this paper, we present personalized routes recommendation on Location Based Social Network. We model user in both geographical space and semantic space, and define Activity Pattern to describe individual’s personalized character, i.e. individual’s activity regularity.
Li Chao Zhu, Zhi Jun Li, Shou Xu Jiang
openaire   +1 more source

A spatio-temporal network model to represent and analyze LBSNs

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 2015
With the increasing popularity of Location-based Social Networks (LBSNs), users have shared information about places they have visited, creating a link between the real world (their movements on the globe) and the virtual world (what they express about these movements on the LBSNs). In this article, we propose the SiST model, which contains information
Bruno Neiva Moreno, Valéria Cesário Times, Stan Matwin   +2 more
openaire   +1 more source

Understanding Human Dynamics of Check-in Behavior in LBSNs

2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013
With the increase of popularity and pervasive use of sensor-embedded smart phones, location-based social network services (LBSNs) are widely used in recent years. In this paper, we investigate human dynamics of the check-in data crawled from Jie Pang, a famous Chinese LBSN service. We study interval time and jump size (i.e.
Yun Feng, Zhiwen Yu 0001, Xinjiang Lu, Jilei Tian   +3 more
openaire   +1 more source

Investigating City Characteristics Based on Community Profiling in LBSNs

2012 Second International Conference on Cloud and Green Computing, 2012
While the detection of social subgroups (i.e., communities) has always been a fundamental task in social network analysis, few efforts has been made to characterize the detected community. Meanwhile, to effectively facilitate applications based on the community structure, it is very important to understand the features of each community.
Zhu Wang 0001, Daqing Zhang 0001, Dingqi Yang, Zhiyong Yu 0001, Xingshe Zhou 0001, Zhiwen Yu 0001   +5 more
openaire   +1 more source

A Personalized Geographic-Based Diffusion Model for Location Recommendations in LBSN

2014 9th Latin American Web Congress, 2014
Location Based Social Networks (LBSN) have emerged with the purpose of allowing users to share their visited locations with their friends. Foursquare, for instance, is a popular LBSN where users endorse and share tips about visited locations. In order to improve the experience of LBSN users, simple recommender services, typically based on geographical ...
Iury Nunes, Leandro Balby Marinho
openaire   +1 more source

A Graph-Based Taxonomy of Recommendation Algorithms and Systems in LBSNs

IEEE Transactions on Knowledge and Data Engineering, 2016
Recently, location-based social networks (LBSNs) gave the opportunity to users to share geo-tagged information along with photos, videos, and SMSs. Recommender systems can exploit this geographic information to provide much more accurate and reliable recommendations to users.
Pavlos Kefalas, Panagiotis Symeonidis, Yannis Manolopoulos   +2 more
openaire   +1 more source

NationTelescope: Monitoring and visualizing large-scale collective behavior in LBSNs

Journal of Network and Computer Applications, 2015
The research of collective behavior has attracted a lot of attention in recent years, which can empower various applications, such as recommendation systems and intelligent transportation systems. However, in traditional social science, it is practically difficult to collect large-scale user behavior data.
Longbiao Chen, Dingqi Yang, Bingqing Qu   +2 more
exaly   +3 more sources

Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs

Lecture Notes in Computer Science
Location-based service networks (LBSNs) have emerged as a primary source for numerous applications that attempt to understand human mobility and analyze social networks. However, mainstream studies on representation learning often consider LBSNs to be either regular graphs or a mixture of regular graphs and hypergraphs.
Le Nguyen, Thanh Tam Nguyen, Jun Hyung Jo   +2 more
exaly   +4 more sources