{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:23:39Z","timestamp":1750307019873,"version":"3.41.0"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2012,3,1]],"date-time":"2012-03-01T00:00:00Z","timestamp":1330560000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGSPATIAL Special"],"published-print":{"date-parts":[[2012,3]]},"abstract":"<jats:p>Social networks have been prevalent on the Internet, 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 daily 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.<\/jats:p>","DOI":"10.1145\/2189403.2189409","type":"journal-article","created":{"date-parts":[[2012,4,24]],"date-time":"2012-04-24T18:41:10Z","timestamp":1335292870000},"page":"12-13","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["LBSN 2011 Workshop Report: the Third ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN 2011)"],"prefix":"10.1145","volume":"4","author":[{"given":"Yu","family":"Zheng","sequence":"first","affiliation":[{"name":"Microsoft Research Asia"}]},{"given":"Mohamed F.","family":"Mokbel","sequence":"additional","affiliation":[{"name":"University of Minnesota"}]}],"member":"320","published-online":{"date-parts":[[2012,3]]},"container-title":["SIGSPATIAL Special"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2189403.2189409","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2189403.2189409","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T08:49:11Z","timestamp":1750236551000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2189403.2189409"}},"subtitle":["(Chicago, Illinois - November 1, 2011)"],"short-title":[],"issued":{"date-parts":[[2012,3]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2012,3]]}},"alternative-id":["10.1145\/2189403.2189409"],"URL":"https:\/\/doi.org\/10.1145\/2189403.2189409","relation":{},"ISSN":["1946-7729"],"issn-type":[{"type":"electronic","value":"1946-7729"}],"subject":[],"published":{"date-parts":[[2012,3]]},"assertion":[{"value":"2012-03-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}