Multilevel Visualization Using Enhanced Social Network Analysis with Smartphone Data
Sotiris Ioannidis and
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Panagiotis Andriotis: University of Bristol, Bristol, UK
Zacharias Tzermias: Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece
Anthi Mparmpaki: Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece
Sotiris Ioannidis: Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece
George Oikonomou: University of Bristol, Bristol, UK
International Journal of Digital Crime and Forensics (IJDCF), 2013, vol. 5, issue 4, 34-54
While technology matures and becomes more productive, mobile devices can be affordable and, consequently, fully integrated in people's lives. After their unexpected bloom and acceptance, Online Social Networks are now sources of valuable information. The authors therefore use them for tasks varying from direct marketing to forensic analysis. The authors have already seen Social Network Forensics techniques focused on particular networks implementing methods that collect data from user accounts. During the forensic analysis it is common to aggregate information from different sources but, usually, this procedure causes correlation problems. Here, the authors present their method to correlate data gathered from various social networks in combination with smartphones creating a new form of social map of the user under investigation. In addition, the authors introduce a multi level graph that utilises the correlated information from the smartphone and the social networks and demonstrates in three dimensions the relevance of each contact with the suspect.
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jdcf00:v:5:y:2013:i:4:p:34-54
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