Paper Info
Title
A multi-layer data representation of trajectories in social networks based on points of interest
Abstract
Social networking, and sophisticated wireless and positioning systems are fast developing and ever increasing technologies. Mobile social applications have the ability to increase the social connectivity by capturing automatically users' daily routines with Global Positioning System (GPS) receivers. These applications allow to record users' trajectories based on daily travel routes as well as to share experiences and interests among friends. However, there is always an increasing demand for providing an easy way to manipulate trajectory data, to generate and compare user profiles. Effective analysis of spatial trajectories has become an essential requirement to explore and understand the behavior of moving objects. In this paper, we highlight the importance of capturing users' daily routines in the form of trajectories in order to strengthen social connectivity. We also present the conceptual approach to multi-layer data representation in order to extract points of interest of correlated trajectories. Finally, we show how the data model could provide mobile social applications with direct support for trajectories at different abstraction levels.
Year
DOI
Venue
2012
10.1145/2389936.2389942
WIDM
Keywords
Field
DocType
social network,global positioning system,increasing demand,daily routine,multi-layer data representation,data model,social connectivity,mobile social application,trajectory data,data representation,daily travel route,geographic information system
Geographic information system,Data mining,Social network,External Data Representation,Wireless,Computer science,Global Positioning System,Point of interest,Data model,Trajectory
Conference
Citations 
PageRank 
References 
0
0.34
13
Authors
4
Name
Order
Citations
PageRank
Reinaldo Bezerra Braga1497.65
Ali Tahir2203.93
Michela Bertolotto386391.77
Hervé Martin4213.38