LBSN 2010 - 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks (LBSN’ 10)

Social networking services have become very popular in recent years, especially among younger people. While many people still sit behind a desktop computer to upload photos, write blogs and communicate with friends in the virtual world, an increasing trend enabled by the development of wireless networks and location sensing technologies is to track and share personal location information on the fly with mobile devices. By adding a location dimension, social networking has now been brought from the virtual world back to real life and our real-life experiences can be shared in the virtual world in a convenient fashion. We define Location Based Social Networks (LBSN) as social networking services where people can track and share location-related information with each other, via either mobile or desktop computers. As location is one of the most important aspects in people’s everyday lives, a lot of novel application scenarios can be supported by LBSN, e.g., trustworthy location recommendations can be collected and shared within LBSN and used to rank interesting locations, discover new places, people and activities.

The objective of this workshop is to provide a single forum for researchers and technologists to discuss the state-of-the-art of LBSN development and applications, present their ideas and contributions, and set future directions in emerging innovative research for location based social networks.

Topics of Interest
Topics of interest include, but are not limited to, the following aspects of location based social networks:

?Spatial data mining and knowledge discovery
?Personal location/trajectory data mining
?Spatial query log mining
?Geo-tagged multimedia mining
?Opinion mining for location related information
?Spatial data indexing
?Hybrid index for spatial, textual and multimedia data
?Index for moving objects

?Location based social network analysis
?Geographical information extraction and retrieval
?Spatial data acquisition and pre-processing
?Spatial data visualization and computer human interface
?Location privacy, data sharing and security
?Navigation and traffic prediction
?Systems, architectures and middleware