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Measurement Methods of User Behavior in Online Social Networks

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Computational Social Networks

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Abstract

The measurements of user behavior in online social networks have recently received special attention from the social, psychological, and networking research communities. Applying different measurement techniques allows to measure diverse facets of human activities. To overview the existing measurement methods and to motivate the development of novel measurement schemes, we review the most prevalent measurement techniques that are used in case of online social networks. Both passive and active methods are considered; the measurement frameworks are compared based on several properties including the details of the datasets and the resource consumption of the methods. In addition, state-of-the-art applications of the measurement ideas are given for illustration purposes.

This work was done while László Gyarmati was a graduate student at Telecommunications and Media Informatics, Budapest University of Technology and Economics

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Author information

Authors and Affiliations

  1. Telefonica Research, Plaza de Ernest Lluch i Martín 5, 08019, Barcelona, Spain

    László Gyarmati

  2. Network Economics Group, Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Magyar tudósok körútja 2, Budapest, H-1117, Hungary

    Tuan Anh Trinh

Authors
  1. László Gyarmati
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  2. Tuan Anh Trinh
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Correspondence to László Gyarmati .

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Editors and Affiliations

  1. Auburn, 98071, USA

    Ajith Abraham

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© 2012 Springer-Verlag London

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Gyarmati, L., Trinh, T.A. (2012). Measurement Methods of User Behavior in Online Social Networks. In: Abraham, A. (eds) Computational Social Networks. Springer, London. https://doi.org/10.1007/978-1-4471-4051-1_7

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  • DOI: https://doi.org/10.1007/978-1-4471-4051-1_7

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  • Print ISBN: 978-1-4471-4050-4

  • Online ISBN: 978-1-4471-4051-1

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