<div class="gmail_quote"><div><div><br></div><div>3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN 2011) </div><div>November 1, 2011 - Chicago, Illinois, USA</div><div>Held in conjunction with the 19th ACM SIGSPATIAL GIS 2011 </div>
<div><br></div><div><a href="http://lbsn2011.cs.umn.edu/" target="_blank">http://lbsn2011.cs.umn.edu/</a></div><div><br></div><div>General Chair: </div><div>Christian S. Jensen, Aarhus University, Denmark</div><div>Wang-Chien Lee, Pennsylvania State University, USA</div>
<div>Program Chair: </div><div>Mohamed F. Mokbel, University of Minnesota, USA</div><div>Yu Zheng, Microsoft Research Asia, China</div><div><br></div><div> </div><div>Aims and Scope:</div><div><br></div><div>Social networks have been prevalent on the Internet and have become a</div>
<div>hot research topic attracting many professionals from a variety of</div><div>fields. By adding a location dimension, we can bring online social</div><div>networks back to the physical world and share our real-life</div>
<div>experiences in the virtual world conveniently. In location Based</div><div>Social Networks (LBSN), people cannot only track and share</div><div>location-related information with each other via either mobile devices </div>
<div>or desktop computers, but also leverage collaborative social knowledge</div><div>learned from user-generated and location-related content. As location</div><div>is one of the most important properties in people's everyday lives,</div>
<div>LBSN will bridge the gap between online societies and the physical </div><div>world and enable a lot of novel applications changing the way we live,</div><div>such as travel planning, location/friend recommendations, community</div>
<div>discovery, human mobility modeling and user activity analysis. The</div><div>technology derived from LBSN, e.g., location trajectory mining and</div><div>retrieval, can also be applied to a multitude of other research areas</div>
<div>including biology, sociology, geography, and climatology, etc. The</div><div>objective of this workshop is to provide professionals, researchers,</div><div>and technologists with a single forum where they can discuss and share</div>
<div>the state-of-the-art of LBSN development and applications, present</div><div>their ideas and contributions, and set future directions in emerging</div><div>innovative research for location based social networks. </div>
<div> </div><div>Program</div><div><br></div><div>8:00-8:45 Breakfast </div><div>8:45-9:00 Opening and Welcome (15min) </div><div>9:00-9:35 Invited talk: Mining Public Transport Usage For Personalized Intelligent Transport Systems. </div>
<div>Speaker: Licia Capra, Senior Lecturer from University College London</div><div><br></div><div>9:35-10:30 Session 1 (55min): Human Mobility and Locality </div><div>User Association Analysis of Locales on Location Based Social Networks </div>
<div> Jia-Ching Ying, Wang-Chien Lee, Mao Ye, Ching-Yu Chen, Vincent Tseng</div><div>Sensing Urban Mobility with Taxi Flow</div><div> Marco Veloso, Santi Phithakkitnukoon, Carlos Bento</div><div>Spatial-Social Network Visualization for Exploratory Data Analysis</div>
<div> Wei Luo, Alan MacEachren, Frank Hardisty Hardisty, Peifeng Yin</div><div><br></div><div>10:30-11:00 Coffee Break (30min) </div><div><br></div><div>11:00-12:30 Session 2 (90min): Trajectories in LBSNs </div><div>
Discovering Personalized Routes from Trajectories</div><div> Kai-Ping Chang, Ling-Yin Wei, Wen-Chih Peng, Mi-Yeh Yeh</div><div>Storing Routes in Socio-Spatial Networks and Supporting Social-Based Route Recommendation</div>
<div> Yerach Doytsher, Ben Galon, Yaron Kanza</div><div>Towards an online detection of pedestrian flocks in urban canyons by smoothed spatio-temporal clustering of GPS trajectories </div><div> Martin Wirz, Mikkel Kj?rgaard, Sebastian Feese, Pablo Schl?pfer, Daniel Roggen, Gerhard Tr?ster</div>
<div>Towards Trajectory-Based Experience Sharing in a City</div><div> Byoungjip Kim</div><div> </div><div>12:30-13:55 Lunch </div><div><br></div><div>13:55-15:35 Session 3 (100min): Twitter for LBSNs </div><div>Space-Time Dynamics of Topics in Streaming Text</div>
<div> Alexei Pozdnoukhov, Christian Kaiser</div><div>Identification of Live News Events using Twitter</div><div> Alan Jackoway, Hanan Samet, Jagan Sankaranarayanan</div><div>Crowd-based Urban Characterization: Extracting Crowd Behavioral Patterns in Urban Areas from Twitter </div>
<div> Shoko Wakamiya, Ryong Lee, Kazutoshi Sumiya</div><div>Extracting Urban Patterns from Location-based Social Networks</div><div> Laura Ferrari, Alberto Rosi, Marco Mamei, Franco Zambonelli</div><div> </div><div>
15:35-16:00 Coffee Break (25min) </div><div><br></div><div>16:00-17:05 Session 4 (65min): Activities in LBSNs </div><div>Geo-social Recommendations based on Incremental Tensor Reduction and Local Path Traversal</div><div>
Panagiotis Symeonidis, Alexis Papadimitriou, Yannis Manolopoulos, Pinar Senkul, Ismail Toroslu</div><div>Tag Recommendation for Georeferenced Photos</div><div> Ana Silva, Bruno Martins</div><div>Collaborative Activity Recognition via Check-in History </div>
<div> Defu Lian, Xing Xie</div><div> </div><div>17:05-17:30 Business meeting (25min) </div><div> </div><div><br></div><br>
</div>
</div><br><br clear="all"><div><br></div>-- <br><div><br></div><div>Thanks and Best Regards, </div><div><br></div>Wei Ding <br>Assistant Professor, Computer Science Department<br>University of Massachusetts Boston<br>100 Morrissey Blvd., Boston, MA 02125<br>
(Ph) 617-287-6428 (Fax) 617-287-6433<br><a href="http://www.cs.umb.edu/~ding" target="_blank">http://www.cs.umb.edu/~ding</a><br><br>