Discovering Thematic Patterns in Geo‐Referenced Tweets through Space‐Time Visual Analytics
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چکیده
This paper presents an exploratory study of the potential of geo‐referenced Twitter data for extracting knowledge about everyday life of people: their interests, activities, habits and behaviors. This is different from other researches on analysis of Twitter data, which focus on detection of extraordinary events. In our study, we applied several methods of Visual Analytics, which enable combining the power of computers with the power of human vision, thinking, and insight. By example of tweets from residents of the greater Seattle area for two‐month period, we demonstrate what kinds of knowledge can be gained by analyzing such data.
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