Qualification Type: | PhD |
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Location: | Coventry |
Funding for: | UK Students, EU Students, International Students |
Funding amount: | Fully Funded with stipend |
Hours: | Full Time |
Placed On: | 20th December 2022 |
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Closes: | 1st April 2023 |
The project is centred on characterizing a new type of complex network ensemble. In studying complex systems, researchers often use graph-sampling methods to build networks obeying given constraints, such as a degree sequence or a joint-degree matrix (JDM). This project concerns how to directly determine the JDMs corresponding to a given degree sequence.
JDMs uniquely specify the degree sequences of the graphs that realize them; however, the vice versa is not necessarily true, as, in general, each degree sequence can be realized by graphs with different JDMs. Currently, the only way of determining the typical degree correlations of a graph family is sampling their degree sequence or degree distribution and then measure the correlations of the resulting networks. The first goal will be to create an algorithm to build and sample the JDMs corresponding to a given degree sequence without passing through the middle step of explicit graph construction, using a self-consistent approach to identify the bounds on the elements of partially built matrices.
The algorithm will then be used to study and compare the correlation ensembles of the main families of complex networks, shedding light on the mesoscopic relations that give rise to the observed preferred correlation structures.
Entry criteria for applicants to PhD
For further details please visit: https://www.coventry.ac.uk/research/research-opportunities/research-students/making-an-application/research-entry-criteria/
https://www.coventry.ac.uk/research/research-opportunities/research-students/making-an-application/
To apply on line please visit: Home Page | PGR+ Application (coventry.ac.uk)
Details of all available research opportunities at Coventry University can be found via
https://www.coventry.ac.uk/research/research-opportunities/
All applications require full supporting documentation, and a covering letter – plus one of the following ( please select one option)
or
To find out more about the project please contact:
Dr. Charo del Genio (ad0364@coventry.ac.uk)
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