Small world picture of worldwide seismic events
- Submitting institution
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University of Exeter
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1826
- Type
- D - Journal article
- DOI
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10.1016/j.physa.2014.04.024
- Title of journal
- Physica A: Statistical Mechanics and its Applications
- Article number
- -
- First page
- 170
- Volume
- 408
- Issue
- -
- ISSN
- 0378-4371
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2014
- 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
- Yes
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Developed in a collaboration with the Brazilian National Observatory this contribution uses a Network Science framework to indicate that seisms around the world may not be independent events. This is the first study to show this at a global level. Moreover, network modelling used allows us to demonstrate temporal and spatial regularities in the area of seismic events. This work led to other usages of the approach (e.g. oil trade networks (https://doi.org/10.1016/j.enpol.2014.06.020) and a demonstration that earthquakes may have some level of synchronization (https://doi.org/10.1002/2017GL074934). This is a clear example of Network Science aiding the understanding of complex phenomena.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -