Sensing Urban Social Geography Using Online Social Networking Data (2011)

Author(s): Phithakkitnukoon S, Olivier P

    Abstract: Growing pools of public-generated information like online social networking data provides possibility to sense social dynamics in the urban space. In this position paper, we use a location-based online social networking data to sense geo-social activity and analyze the underlying social activity distribution of three different cities: London, Paris, and New York. We find a non-linear distribution of social activity, which follows the Power Law decay function. We perform inter-urban analysis based on social activity distribution and clustering. We believe that our study sheds new light on context-aware urban computing and social sensing.

      • Date: 17-21 July 2011
      • Conference Name: International AAAI Conference on Weblogs and Social Media (ICWSM'11)
      • Publication type: Conference Proceedings (inc. abstract)
      • Bibliographic status: Published
        Staff

        Professor Patrick Olivier
        Professor of Human-Computer Interaction (Digital Interaction)