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- W2010048443 abstract "With being coupled with geographic location, microblogging messages have become more important information resources to share observations and opinions about the real world via social media. As a result, we are getting much interested in comprehending situations related to natural and/or social events using those messages. In the recent, certain works have focused on showing trending topics that can represent snapshots of certain situations with spatial and temporal contexts on the basis of geo-tagged microblogging messages. They, however, have difficulty in tracking and comparing changes and movements in a spatiotemporal domain because of the separated geo-spatial and temporal components. This demonstration introduces mTrend, which constructs and visualizes spatiotemporal trends of topics, named as topic movements, on the basis of the geo-tagged Tweets. In particular, its interactive visual mining tool allows users to intuitively understand the differences between movements over space and time. In the demonstration, we present the comparisons of movements using a few keywords related to the Great East Japan Earthquake." @default.
- W2010048443 created "2016-06-24" @default.
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- W2010048443 date "2011-11-01" @default.
- W2010048443 modified "2023-09-23" @default.
- W2010048443 title "<i>m</i> Trend" @default.
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- W2010048443 doi "https://doi.org/10.1145/2093973.2094066" @default.
- W2010048443 hasPublicationYear "2011" @default.
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