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International Workshop on Mobility Analytics for Spatio-temporal and Social Data

MATES 2017: Mobility Analytics for Spatio-Temporal and Social Data pp 36–53Cite as

What do Geotagged Tweets Reveal About Mobility Behavior?

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10731))

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

  1. 1.

    https://about.twitter.com/company.

  2. 2.

    All users reported in the experimental part, are non-spamming users.

  3. 3.

    Due to the relatively high number of users, different users may share the same color.

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Author information

Authors and Affiliations

  1. George Mason University, Fairfax, USA

    Pavlos Paraskevopoulos

  2. LIPADE, Paris Descartes University, Paris, France

    Pavlos Paraskevopoulos & Themis Palpanas

Authors
  1. Pavlos Paraskevopoulos
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  2. Themis Palpanas
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Corresponding author

Correspondence to Pavlos Paraskevopoulos .

Editor information

Editors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    Christos Doulkeridis

  2. University of Piraeus, Piraeus, Greece

    George A. Vouros

  3. Shenzhen Institutes of Advanced Technology, Shenzhen, China

    Qiang Qu

  4. Institute of Computing Technology, Beijing, China

    Shuhui Wang

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Cite this paper

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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  • DOI: https://doi.org/10.1007/978-3-319-73521-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73520-7

  • Online ISBN: 978-3-319-73521-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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