Optimal deployment of resources for maximizing impact in spreading processes
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21491336
- Type
- D - Journal article
- DOI
-
10.1073/pnas.1614694114
- Title of journal
- Proceedings of the National Academy of Sciences
- Article number
- -
- First page
- E8138
- Volume
- 114
- Issue
- 39
- ISSN
- 0027-8424
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2017
- 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
-
1
- Research group(s)
-
A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 29
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We developed a mathematical and algorithmic framework for optimising probabilistic spreading processes that model marketing, opinion-setting and epidemic-spreading which facilitates timely targeted optimal deployment of limited resources (vaccine, testing, advertising material). It was presented in 10 international conferences/workshops (5 by invitation, e.g., CCEGN-2017, SigmaPhi2017, Max-Planck-Inst2018), and 5 invited seminars. It gave rise to follow-up papers (arXiv:1905.04416, arXiv:1912.12749, https://doi.org/10.1103/PhysRevResearch.2.032059), new collaboration and played a role in securing three awards (EPSRC, TRANSNET programme grant EP/R035342/1 £6M, the Leverhulme Trust RPG-2018-092 £190K, EU MSC CAOS €225K) and EPSRC DTP funding for a PhD student.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
