See, stats, and : https : / / www . researchgate . net / publication / 260003049 2010 - 11 Data CITATIONS 0 READS 771 2 : Some : Social Ryong Korea 65 SEE Kazutoshi Kwansei 157 SEE All . The . 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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