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Multilevel Visualization Using Enhanced Social Network Analysis with Smartphone Data

Multilevel Visualization Using Enhanced Social Network Analysis with Smartphone Data

Panagiotis Andriotis, Zacharias Tzermias, Anthi Mparmpaki, Sotiris Ioannidis, George Oikonomou
Copyright: © 2013 |Volume: 5 |Issue: 4 |Pages: 21
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781466635340|DOI: 10.4018/ijdcf.2013100103
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MLA

Andriotis, Panagiotis, et al. "Multilevel Visualization Using Enhanced Social Network Analysis with Smartphone Data." IJDCF vol.5, no.4 2013: pp.34-54. http://doi.org/10.4018/ijdcf.2013100103

APA

Andriotis, P., Tzermias, Z., Mparmpaki, A., Ioannidis, S., & Oikonomou, G. (2013). Multilevel Visualization Using Enhanced Social Network Analysis with Smartphone Data. International Journal of Digital Crime and Forensics (IJDCF), 5(4), 34-54. http://doi.org/10.4018/ijdcf.2013100103

Chicago

Andriotis, Panagiotis, et al. "Multilevel Visualization Using Enhanced Social Network Analysis with Smartphone Data," International Journal of Digital Crime and Forensics (IJDCF) 5, no.4: 34-54. http://doi.org/10.4018/ijdcf.2013100103

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Abstract

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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