Ranking the invasions of cheaters in structured populations
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2373
- Type
- D - Journal article
- DOI
-
10.1038/s41598-020-59020-4
- Title of journal
- Scientific Reports
- Article number
- 2231
- First page
- -
- Volume
- 10
- Issue
- 1
- ISSN
- 2045-2322
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2020
- URL
-
https://e-space.mmu.ac.uk/625088/
- 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
- Yes
- Number of additional authors
-
3
- Research group(s)
-
C - Machine Intelligence
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the first paper to highlight the relevance of the positions of cheaters in structured populations. The computational approach that is proposed in the paper extends previous ideas and has led to further studies of how to strategically position co-operators in social networks (G. Yang et al., Sci.Rep. 11, 2021). The paper was written with Professor Matjaz Perc, one of the world’s leading researchers in complex systems and amongst the top 1% of cited physicists.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -