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- W993827417 abstract "On line social networks (e.g., Facebook, Twitter) allow users to tag their posts with geographical coordinates collected through the GPS interface of smart phones. The time- and geo-coordinates associated with a sequence of tweets manifest the spatial-temporal movements of people in real life. This paper aims to analyze such movements to discover people and community behavior. To this end, we defined and implemented a novel methodology to mine popular travel routes from geo-tagged posts. Our approach infers interesting locations and frequent travel sequences among these locations in a given geo-spatial region, as shown from the detailed analysis of the collected geo-tagged data." @default.
- W993827417 created "2016-06-24" @default.
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- W993827417 date "2015-01-01" @default.
- W993827417 modified "2023-09-27" @default.
- W993827417 title "Mining Popular Travel Routes from Social Network Geo-Tagged Data" @default.
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- W993827417 doi "https://doi.org/10.1007/978-3-319-19830-9_8" @default.
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