Efficient local strategies for vaccination and network attack
| dc.creator | Holme, Petter | |
| dc.date | 2004-03-16 | |
| dc.date.accessioned | 2026-07-07T05:58:18Z | |
| dc.date.available | 2026-07-07T05:58:18Z | |
| dc.description | We study how a fraction of a population should be vaccinated to most efficiently top epidemics. We argue that only local information (about the neighborhood of specific vertices) is usable in practice, and hence we consider only local vaccination strategies. The efficiency of the vaccination strategies is investigated with both static and dynamical measures. Among other things we find that the most efficient strategy for many real-world situations is to iteratively vaccinate the neighbor of the previous vaccinee that has most links out of the neighborhood. | |
| dc.identifier | https://arxiv.org/abs/q-bio/0403021 | |
| dc.identifier | http://arxiv.org/abs/q-bio/0403021 | |
| dc.identifier | Europhys. Lett., 68 (6), pp. 908-914 (2004) | |
| dc.identifier | doi:10.1209/epl/i2004-10286-2 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/88308 | |
| dc.subject | Populations and Evolution | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.title | Efficient local strategies for vaccination and network attack | |
| dc.type | text |