Measurement methods of user behavior in online social networks

Laszlo Gyarmati, Tuan Anh Trinh

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationComputational Social Networks: Security and Privacy
PublisherSpringer-Verlag London Ltd
Pages157-175
Number of pages19
ISBN (Print)9781447140481, 1447140508, 9781447140474
DOIs
Publication statusPublished - 1 Aug 2013
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Gyarmati, L., & Trinh, T. A. (2013). Measurement methods of user behavior in online social networks. In Computational Social Networks: Security and Privacy (pp. 157-175). Springer-Verlag London Ltd. https://doi.org/10.1007/978-1-4471-4051-1_7