NDLI: mTrend: discovery of topic movements on geo-microblogging messages

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mTrend: discovery of topic movements on geo-microblogging messages

Content Provider	ACM Digital Library
Author	Kim, Kyoung-Sook Zettsu, Koji Lee, Ryong
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 topic 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 topic movements over space and time. In the demonstration, we present the comparisons of topic movements using a few keywords related to the Great East Japan Earthquake.
Starting Page	529
Ending Page	532
Page Count	4
File Format	PDF
ISBN	9781450310314
DOI	10.1145/2093973.2094066
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-11-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Moving phenomena Geo-events Microblogs Spatiotemporal trend analysis Visual mining
Content Type	Text
Resource Type	Article

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