Decentralized dynamic understanding of hidden relations in complex networks
- Submitting institution
-
University of Derby
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 785861-1
- Type
- D - Journal article
- DOI
-
10.1038/s41598-018-19356-4
- Title of journal
- Scientific reports
- Article number
- 1571
- First page
- -
- Volume
- 8
- Issue
- 1
- ISSN
- 2045-2322
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
https://doi.org/10.1038/s41598-018-19356-4
- 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
-
2
- Research group(s)
-
-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The novel Game of Thieves (GOT) paradigm proposed in this paper has led to a breakthrough in network analysis. GOT allows the efficient computation of the importance of all network elements (both nodes and edges) in polylogarithmic time, which makes it suitable for real-time analysis of very large-scale networks with billions of nodes. This approach has inspired research in Social Network Analysis and Geographical Networks (LS Zhang and CL Li, Scientific Reports, 2019 https://www.nature.com/articles/s41598-019-45783-y).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
