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Revealing the City That We Cannot See

Published:17 December 2014Publication History
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Abstract

We here investigate the potential of participatory sensor networks derived from location sharing systems, such as Foursquare, to understand the human dynamics of cities. We propose the City Image visualization technique, which builds a transition graph mapping people's movements between location categories, and demonstrate its use to identify similarities and differences of human dynamics across cities by clustering cities according to their citizens' routines. We also analyze centrality metrics of the transition graphs built for different cities, considering transitions between specific venues. We show that these metrics complement the City Image technique, contributing to a deeper understanding of city dynamics.

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    • Published in

      cover image ACM Transactions on Internet Technology
      ACM Transactions on Internet Technology  Volume 14, Issue 4
      Special Issue on Foundations of Social Computing
      December 2014
      143 pages
      ISSN:1533-5399
      EISSN:1557-6051
      DOI:10.1145/2699996
      • Editor:
      • Munindar P. Singh
      Issue’s Table of Contents

      Copyright © 2014 ACM

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 17 December 2014
      • Accepted: 1 June 2014
      • Revised: 1 April 2014
      • Received: 1 November 2013
      Published in toit Volume 14, Issue 4

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