Highlighting Relationships of a Smartphone's Social Ecosystem in Potentially Large Investigations
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 916408
- Type
- D - Journal article
- DOI
-
10.1109/TCYB.2015.2454733
- Title of journal
- IEEE Transactions on Cybernetics
- Article number
- -
- First page
- 1974
- Volume
- 46
- Issue
- 9
- ISSN
- 2168-2267
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2015
- URL
-
http://dx.doi.org/10.1109/TCYB.2015.2454733
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We extract users’ digital facets defined by their digital footprints on their mobile devices. The digital facets are further linked with the users’ existing acquaintances from the physical word aiming to identify parody accounts. This work pioneered the demonstration of how social ecosystems can be integrated in a multi-layered environment highlighting influential individuals in a system using graphs. Similar visualization functionality has been introduced very recently by modern digital forensics software, such as the “Connections” utility of the Magnet Axiom tool or the “Social Graph” utility of the Oxygen Forensics Detective.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
