Sensing urban social geography using online social networking data

Santi Phithakkitnukoon, Patrick Olivier

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    7 Citations (Scopus)

    Abstract

    Growing pool of public-generated bits 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.

    Original languageEnglish
    Title of host publicationSocial Mobile Web - Papers from the 2011 ICWSM Workshop, Technical Report
    Pages36-39
    Number of pages4
    VolumeWS-11-02
    Publication statusPublished - 2 Nov 2011
    EventInternational AAAI Conference on Weblogs and Social Media Workshop 2011 - Barcelona, Catalonia, Spain
    Duration: 21 Jul 201121 Jul 2011

    Conference

    ConferenceInternational AAAI Conference on Weblogs and Social Media Workshop 2011
    CountrySpain
    CityBarcelona, Catalonia
    Period21/07/1121/07/11

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