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Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection

Published: 02 November 2010 Publication History

Abstract

Recently, microblogging sites such as Twitter have garnered a great deal of attention as an advanced form of location-aware social network services, whereby individuals can easily and instantly share their most recent updates from any place. In this study, we aim to develop a geo-social event detection system by monitoring crowd behaviors indirectly via Twitter. In particular, we attempt to find out the occurrence of local events such as local festivals; a considerable number of Twitter users probably write many posts about these events. To detect such unusual geo-social events, we depend on geographical regularities deduced from the usual behavior patterns of crowds with geo-tagged microblogs. By comparing these regularities with the estimated ones, we decide whether there are any unusual events happening in the monitored geographical area. Finally, we describe the experimental results to evaluate the proposed unusuality detection method on the basis of geographical regularities obtained from a large number of geo-tagged tweets around Japan via Twitter.

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      cover image ACM Conferences
      LBSN '10: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks
      November 2010
      80 pages
      ISBN:9781450304344
      DOI:10.1145/1867699
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      Published: 02 November 2010

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      Author Tags

      1. geo-social event detection
      2. geographical regularity
      3. microblogs

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