Exact calculation of network robustness
Finding the most critical nodes regarding network connectivity has attracted the attention of many researchers in infrastructure networks, power grids, transportation networks and physics in complex networks. Static robustness of networks under intentional attacks analyses the ability of a system to...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/127186 |
| Acceso en línea: | https://hdl.handle.net/2117/127186 https://dx.doi.org/10.1016/j.ress.2018.11.020 |
| Access Level: | acceso abierto |
| Palabra clave: | Network analysis (Planning) Mathematical optimization System analysis Robustness Complex networks Optimization MILP Anàlisi de xarxes (Planificació) Optimització matemàtica Anàlisi de sistemes Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions |
| Sumario: | Finding the most critical nodes regarding network connectivity has attracted the attention of many researchers in infrastructure networks, power grids, transportation networks and physics in complex networks. Static robustness of networks under intentional attacks analyses the ability of a system to maintain its connectivity after the disconnection or deletion of a series of targeted nodes. In this context, connectivity is typically measured by the size of the remaining largest connected component. When targeting these nodes, previous literature has mostly used adaptive strategies that sequentially remove central nodes, or created heuristics in order to improve the results of the adaptive strategies. The proposed methodology based on mathematical programming allows to identify, for every fraction of disconnected or removed nodes, the set that minimizes the size of the largest connected component of a network, i.e. it allows to calculate the exact (most critical) robustness of a network. |
|---|