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Urban Area Characterization Based on Semantics of Crowd Activities in Twitter

  • Shoko Wakamiya
  • Ryong Lee
  • Kazutoshi Sumiya
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6631)

Abstract

It is essential to characterize geographic regions in order to make various geographic decisions. These regions can be characterized from various perspectives such as the physical appearance of a town. In this paper, as a novel approach to characterize geographic regions, we focus on the daily lifestyle patterns of crowds via location-based social networking sites in urban areas. For this purpose, we propose a novel method to characterize urban areas using Twitter, the most representative microblogging site. In order to grasp images of a city by social network based crowds, we define the geographic regularity of the region using daily crowd activity patterns; for instance, the number of tweets, through the number of users, and the movement of the crowds. We also analyze the changing patterns of geographic regularity with time and categorize clustered urban types by tracking common patterns among the regions. Finally, we present examples of several urban types through the observation of experimentally extracted patterns of crowd behavior in actual urban areas.

Keywords

Urban Characteristics Microblogs Geographical Regularity 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Shoko Wakamiya
    • 1
  • Ryong Lee
    • 2
  • Kazutoshi Sumiya
    • 2
  1. 1.Graduate School of Human Science and EnvironmentUniversity of HyogoJapan
  2. 2.School of Human Science and EnvironmentUniversity of HyogoJapan

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