The spreading of computer viruses on time-varying networks
- Submitting institution
-
University of Greenwich
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 23908
- Type
- D - Journal article
- DOI
-
10.1103/PhysRevE.99.050303
- Title of journal
- Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
- Article number
- 050303
- First page
- -
- Volume
- 99
- Issue
- 5
- ISSN
- 1539-3755
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
-
-
- 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
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the first paper to provide a model of the spreading of malware in social networks that takes into account both their time-varying nature and the fact that different social media users may exhibit different susceptibility. Our simulations showed that neglecting the temporal aspect of interactions in social media leads to very inaccurate representations of the spreading power of malware. This work can lead to the development of new methods for assessing the risk and impact of malware propagation through social media.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
