Abstract
People’s attention tends to be drawn by important, or unique events, such as concerts, demonstrations, major football games, and others. Many individuals are even willing to travel long distances in order to attend events they regard as important. As a result, the everyday patterns that a person has, changes. This includes changes in the normal mobility patterns of this person, as well as changes in their social activities. In this work, we study these phenomena by analyzing the behavior of social media users. We investigate the activity and movement of users that either attend a unique event, or visit an important location, and contrast those to users that do not. Furthermore, based on the online activity of users that attend an event, we study the information that we can extract related to the mobility of these users. This information reveals some important characteristics that can be useful for a variety of location-based applications.
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Notes
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All users reported in the experimental part, are non-spamming users.
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Due to the relatively high number of users, different users may share the same color.
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Paraskevopoulos, P., Palpanas, T. (2018). What do Geotagged Tweets Reveal About Mobility Behavior?. In: Doulkeridis, C., Vouros, G., Qu, Q., Wang, S. (eds) Mobility Analytics for Spatio-Temporal and Social Data. MATES 2017. Lecture Notes in Computer Science(), vol 10731. Springer, Cham. https://doi.org/10.1007/978-3-319-73521-4_3
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