Name
Abstract | ||
|---|---|---|
While new forms of attacks are developed every day to compromise essential infrastructures, service providers are also expected to develop strategies to mitigate the risk of extreme failures. In this context, tools of network science have been used to evaluate network robustness and propose resilient topologies against attacks. We present here a new rewiring method to modify the network topology, ... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1093/comnet/cnt010 | Journal of Complex Networks |
Keywords | Field | DocType |
network robustness,risk analysis | Network science,Service provider,Network topology,Robustness (computer science),Artificial intelligence,Modular design,Swap (finance),Mathematics,Modular structure,Machine learning,Distributed computing | Journal |
Volume | Issue | ISSN |
1 | 2 | 2051-1310 |
Citations | PageRank | References |
9 | 0.56 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vitor H. P. Louzada | 1 | 11 | 1.97 |
| Fabio Daolio | 2 | 219 | 14.75 |
| Hans J. Herrmann | 3 | 186 | 17.58 |
| Marco Tomassini | 4 | 1419 | 166.22 |