作者: Tatsuya Fujisaka , Ryong Lee , Kazutoshi Sumiya
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摘要: The explosive growth of the smartphones market and social network sites such as Twitter has enabled to share numerous short messages reflecting our daily lives events from outside their homes or offices. Compared conventional blogging sites, micro-blogging through mobile enable us easily write logs without any spatial temporal restrictions. Such mass geo-tagged time-stamped micro-blogs can inform about patterns, regardless scale, time, significance. We investigate characteristic patterns in urban areas populated movement histories micro-bloggers. In particular, some interesting be frequently observed using two measures aggregation dispersion. also present experimental results determining characteristics actual micro-blog dataset Twitter.