Logo image
Back
Modelling a network as a spring system to estimate edge vulnerability
Conference proceeding   Peer reviewed

Modelling a network as a spring system to estimate edge vulnerability

Paola Lecca
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp.3466-3472
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (Instabul, 05/12/2023–08/12/2023)
2023
DOI: https://doi.org/10.1109/BIBM58861.2023.10385910
Handle:
https://hdl.handle.net/10863/39128

Abstract

random networks network vulnerability scale-free network spring network
In this study, I show how it is possible to have a quantitative estimation of the robustness of a network towards the stimuli or stresses on its nodes and arcs through the implementation of a spring model. The results obtained confirm that a scale-free network is more robust than a non-scale-free network. The method presented here may prove useful in various application domains from materials physics to network biology to ecological and social networks.
url
https://doi.org/10.1109/BIBM58861.2023.10385910View

Details

Metrics

5 Record Views
Logo image