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- W1534856812 abstract "Cities concentrate enough Social Network (SN) activity to empower rich models. We present an approach to event discovery based on the information provided by three SN, minimizing the data properties used to maximize the total amount of usable data. We build a model of the normal city behavior which we use to detect abnormal situations (events). After collecting half a year of data we show examples of the events detected and introduce some applications." @default.
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- W1534856812 date "2014-08-18" @default.
- W1534856812 modified "2023-10-18" @default.
- W1534856812 title "Social network data analysis for event detection" @default.
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- W1534856812 doi "https://doi.org/10.3233/978-1-61499-419-0-1009" @default.
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