Research Output
Virtual vignettes: the acquisition, analysis, and presentation of social network data
  Online social networks (OSNs) are immensely prevalent and have now become a ubiquitous and important part of the modern, developed society. However, online social networks pose significant problems to digital forensic investigators who have no experience online. Data will reside on multiples of servers in multiple countries, across multiple jurisdictions. Capturing it before it is overwritten or deleted is a known problem, mirrored in other cloud based services. In this article, a novel method has been developed for the extraction, analysis, visualization, and comparison of snapshotted user profile data from the online social network Twitter. The research follows a process of design, implementation, simulation, and experimentation. Source code of the tool that was developed to facilitate data extraction has been made available on the Internet.

  • Type:

    Article

  • Date:

    28 February 2014

  • Publication Status:

    Published

  • Publisher

    Springer

  • DOI:

    10.1007/s11432-014-5069-9

  • Cross Ref:

    5069

  • ISSN:

    1674-733X

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Howden, C., Liu, L., Li, Z., Li, J., & Antonopoulos, N. (2014). Virtual vignettes: the acquisition, analysis, and presentation of social network data. SCIENCE CHINA Information Sciences, 57(3), 1-20. https://doi.org/10.1007/s11432-014-5069-9

Authors

Keywords

online social networks, Twitter, digital forensics, cloud computing, social network forensic analysis ,

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