Abstract | ||
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We devised a method of visualizing spatio-temporal events extracted from a geo-parsed microblog stream by using a multi-layered geo-locational word-cloud representation. In our method, real-time geo-parsing geo-locates posts in the stream, in order to recognize words appearing on a user-specified location and time grid as temporal local events. The recognized temporal local events (textit{e.g.}, sports games) are then displayed on a map as multi-layered word-clouds and are then used for finding global events (textit{e.g.}, earthquakes), in order to avoid occlusions among the local and global events. We showed the effectiveness of our method by testing it on real events extracted from our archive of five years worth of Twitter posts.
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Year | Venue | Field |
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2016 | IUI Companion | World Wide Web,Social media,Visualization,Computer science,Microblogging,Parsing,Grid |
DocType | ISBN | Citations |
Conference | 978-1-4503-4140-0 | 2 |
PageRank | References | Authors |
0.36 | 6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Masahiko Itoh | 1 | 9 | 2.95 |
Naoki Yoshinaga | 2 | 117 | 17.13 |
Masashi Toyoda | 3 | 388 | 49.87 |