mTrend: discovery of topic movements on geo-microblogging messages
mTrend: discovery of topic movements on geo-microblogging messages
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mTrend：发现地理微博消息的主题动态
DOI：
10.1145/2093973.2094066
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
K. Zettsu
中科院分区：
文献类型：
--
作者：
Kyoung;Ryong Lee;K. Zettsu
随着地理位置的结合，微博消息已经成为通过社交媒体分享对真实的世界的观察和看法的更重要的信息资源。因此，我们对使用这些信息来理解与自然和/或社会事件相关的情况越来越感兴趣。在最近，某些作品已经集中在显示趋势的主题，可以表示快照的某些情况下与空间和时间的背景上的地理标记的微博消息的基础上。然而，他们有困难的跟踪和比较主题的变化和运动在时空域，因为分离的地理空间和时间的组成部分。该演示介绍了mTrend，它构建和可视化的主题的时空趋势，命名为“主题运动”，基于地理标记的推文。特别是，其交互式可视化挖掘工具允许用户直观地了解空间和时间上的主题运动之间的差异。在演示中，我们使用与东日本大地震有关的几个关键词来比较话题移动。
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.