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Large-scale study of city dynamics and urban social behavior using participatory sensing

Silva, Thiago H. ; Vaz De Melo, Pedro O. S. ; Almeida, Jussara M. ; Loureiro, Antonio A. F.

IEEE wireless communications, 2014-02, Vol.21 (1), p.42-51 [Periódico revisado por pares]

New York: IEEE

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  • Título:
    Large-scale study of city dynamics and urban social behavior using participatory sensing
  • Autor: Silva, Thiago H. ; Vaz De Melo, Pedro O. S. ; Almeida, Jussara M. ; Loureiro, Antonio A. F.
  • Assuntos: Data visualization ; Decision making ; Detection ; Devices ; Dynamic tests ; Dynamical systems ; Dynamics ; Image edge detection ; Real-time systems ; Sensors ; Smart phones ; Social factors ; Social network services ; Social networks ; Tablet computers ; Urban areas ; Web sites ; Wireless communication
  • É parte de: IEEE wireless communications, 2014-02, Vol.21 (1), p.42-51
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
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  • Descrição: The ubiquitous availability of computing technology such as smartphones, tablets, and other easily portable devices, and the worldwide adoption of social networking sites make it increasingly possible for one to be connected and continuously contribute to this massively distributed information publishing process. In this scenario, people act as social sensors, voluntarily providing data that capture their daily life experiences, and offering diverse observations on both the physical world (e.g., location) and the online world (e.g., events). This large amount of social data can provide new forms of valuable information that are currently not available on this scale via any traditional data collection methods, and can be used to enhance decision making processes. In this article, we argue that location-based social media systems, such as Instagram and Foursquare, can act as valuable sources of large-scale sensing, providing access to important characteristics of urban social behavior much more quickly than traditional methods. We also discuss different applications and techniques that can exploit the data shared in these systems to enable large-scale and near-real-time analyses and visualization of different aspects of city dynamics.
  • Editor: New York: IEEE
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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