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Social Media as a Source of Sensing to Study City Dynamics and Urban Social Behavior: Approaches, Models, and Opportunities

  • Conference paper
Ubiquitous Social Media Analysis (MUSE 2012, MSM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8329))

Abstract

In order to achieve the concept of ubiquitous computing, popularized by Mark Weiser, is necessary to sense the environment. One alternative is use traditional wireless sensor networks (WSNs). However, WSNs have their limitations, for instance in the sensing of large areas, such as metropolises, because it incurs in high costs to build and maintain such networks. The ubiquity of smart phones associated with the adoption of social media websites, forming what is called participatory sensing systems (PSSs), enables unprecedented opportunities to sense the environment. Particularly, the data sensed by PSSs is very interesting to study city dynamics and urban social behavior. The goal of this work is to survey approaches and models applied to PSSs data aiming the study city dynamics and urban social behavior. Besides that it is also an objective of this work discuss some of the challenges and opportunities when using social media as a source of sensing.

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Authors and Affiliations

  1. Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil

    Thiago H. Silva, Pedro Olmo S. Vaz de Melo, Jussara M. Almeida & Antonio A. F. Loureiro

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  1. Thiago H. Silva
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  2. Pedro Olmo S. Vaz de Melo
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  3. Jussara M. Almeida
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  4. Antonio A. F. Loureiro
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Editors and Affiliations

  1. Knowledge and Data Engineering Group, University of Kassel, Wilhelmshöher Allee 73, 34121, Kassel, Germany

    Martin Atzmueller

  2. Economic and Technological Development Area, Nokia, Building 2, N. 5 Donghuan Zhonglu, Economic and Technological Development Area, 100176,, Beijing, China

    Alvin Chin

  3. Institute for Knowledge Management, Graz University of Technology, Inffeldgasse 21a, 8010, Graz, Austria

    Denis Helic

  4. Data Mining and Information Retrieval Group, University of Würzburg, Am Hubland, 97074, Würzburg, Germany

    Andreas Hotho

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Silva, T.H., de Melo, P.O.S.V., Almeida, J.M., Loureiro, A.A.F. (2013). Social Media as a Source of Sensing to Study City Dynamics and Urban Social Behavior: Approaches, Models, and Opportunities. In: Atzmueller, M., Chin, A., Helic, D., Hotho, A. (eds) Ubiquitous Social Media Analysis. MUSE MSM 2012 2012. Lecture Notes in Computer Science(), vol 8329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45392-2_4

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  • DOI: https://doi.org/10.1007/978-3-642-45392-2_4

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