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LBSN 2011 - 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN) 2011
Website acmgis2011.cs.umn.edu/ |
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Category LBSN 2011
Deadline: July 22, 2011 | Date: November 01, 2011-November 04, 2011
Venue/Country: Chicago, U.S.A
Updated: 2011-04-18 21:07:51 (GMT+9)
Call For Papers - CFP
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 InterestTopics of interest include, but not limited to, the following aspects :Spatial and spatio-temporal data mining in user-centric scenariosMoving object tracking, indexing and retrieval for social applicationsTrajectory compressing and simplificationTrajectory mining, pattern recognition, and knowledge discoveryLocation privacy and securityUncertainty of location and trajectory in modeling, inference, and queryingActivity recognition and sensing for social applicationsLocation identification from sensor data for social applicationsUser behavior modeling using physical sensor dataSemantic meaning and knowledge discovery from location-related dataUser similarity computing based on location-related informationSocial structure detection from location-related dataLocation and friend recommendationsHot spots, significant places, and interesting locations detectionLocation-tagged media sharing and miningHuman-computer interaction in location-based social networksMobile and ubiquitous computing for location-based social networksInformation retrieval in location-based social networksKeywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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