Important Dates

• Paper submission
• August 7, 2011 (PCT 11:59:59PM)
• (Deadline Extended)
• Notification of acceptance
• August 27, 2011
• (Deadline Extended)
• Camera-ready copies due
• Sep. 20, 2011
• (Deadline Extended)
• Workshop date
• Nov. 1, 2011

Chairs

• General Co-Chairs
• Christian S. Jensen
• Aarhus University, Denmark
• Wang-Chien Lee
• Pennsylvania State University
•  
• Program Co-Chairs
• Mohamed F. Mokbel
• University of Minnesota, USA
• Yu Zheng
• Microsoft Research Asia, China

Previous LBSN

• LBSN 2009
• LBSN 2010

News

• A summary of LBSN 2011 (PDF), Nov.11, 2011
• Proceeding of LBSN 2011 has been included in ACM Digital Library. Nov. 5, 2011.
• The Best Paper Award (Plaque)

  Space-Time Dynamics of Topics in Streaming Text

  Alexei Pozdnoukhov, Christian Kaiser

• The Best Student Award (Plaque)

  Crowd-based Urban Characterization: Extracting Crowd Behavioral Patterns in Urban Areas from Twitter

  Shoko Wakamiya, Ryong Lee, Kazutoshi Sumiya

• Two Released Datasets:

  GeoLife GPS Trajectories (a 4-year trajectories generated by 178 users)

  T-Drive Taxi Trajectories (a one-week trajectories generated by over 10,000 taxis)

• One related book: Computing with Spatial Trajectories

• The workshop program is online.
• The camera-ready instructions have been online. (here)
• The camera-ready due has been extended to Sept. 20, 2011
• The submission deadline was extended to August 7, 2011
• An interesting talk was invited.
• Call for paper is being sent (Mar. 4)
• PC invited (Feb. 16, 2011)
• Workshop homepage launched  (Jan. 15, 2011).

Invited Talk:

Title: Mining Public Transport Usage For Personalised Intelligent Transport Systems

Abstract: The widespread adoption of automated fare collection (AFC) systems by public transport authorities around the world means that, increasingly, people carry and use passive sensors (embedded inside of public transit tickets) to record their daily movements. The records held by AFC systems provide a rich and detailed source of data about peoples' transport habits: times of travel, modalities, destinations, trip durations, and fares paid. In this talk, we explore the possibilities that this data offer to build highly personalised intelligent transport system applications. In particular, we apply data mining techniques to anonymised AFC data collected by London's transport authority, and illustrate two such services: a personalised ticket recommendations service, that estimates future travel patterns and suggests travellers what fare to purchase, thus offering substantial savings; and a personalised journey planner service, that accurately estimates trip duration for users of the system, and that identifies stations that are of greatest interest to each traveller, thus providing useful travel updates.

Bio: Dr. Licia Capra is a Senior Lecturer in the Department of Computer Science at University College london. Her research interests include mobile systems, pervasive computing, social networks, and the potential they offer to urban citizens, especially within the context of public transport. Licia has a PhD in Computer Science from University College London. Contact her at l.capra@cs.ucl.ac.uk.

Aims and Scope

Social networks have been prevalent on the Internet and become a hot research topic attracting many professionals from a variety of fields. By adding a location dimension, we can bring online social networks back to the physical world and share our real-life experiences in the virtual world conveniently. In location Based Social Networks (LBSN), people cannot only track and share location-related information with each other via either mobile devices or desktop computers, but also leverage collaborative social knowledge learned from user-generated and location-related contents. As location is one of the most important properties in people’s everyday lives, LBSN will bridge the gap between online societies and the physical world and enable a lot of novel applications changing the way we live, such as travel planning, location/friend recommendations, community discovery, human mobility modeling and user activity analysis. The technology derived from LBSN, e.g., location trajectory mining and retrieval, can also be applied to a multitude of other research areas including biology, sociology, geography, and climatology, etc.

The objective of this workshop is to provide professionals, researchers, and technologists with a single forum where they can discuss and share 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 not limited to, the following aspects :