The role of clustering and gridlike ordering in epidemic spreading
| dc.creator | Petermann, Thomas | |
| dc.creator | Rios, Paolo De Los | |
| dc.date | 2004-01-22 | |
| dc.date.accessioned | 2026-07-07T02:56:03Z | |
| dc.date.available | 2026-07-07T02:56:03Z | |
| dc.description | The spreading of an epidemic is determined by the connectiviy patterns which underlie the population. While it has been noted that a virus spreads more easily on a network in which global distances are small, it remains a great challenge to find approaches that unravel the precise role of local interconnectedness. Such topological properties enter very naturally in the framework of our two-timestep description, also providing a novel approach to tract a probabilistic system. The method is elaborated for SIS-type epidemic processes, leading to a quantitative interpretation of the role of loops up to length 4 in the onset of an epidemic. | |
| dc.description | Submitted to Phys. Rev. E; 15 pages, 11 figures, 5 tables | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0401434 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0401434 | |
| dc.identifier | Phys. Rev. E 69, 066116 (2004), also included in the archive Virt. J. Biol. Phys. Research 7 (2004). | |
| dc.identifier | doi:10.1103/PhysRevE.69.066116 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/23169 | |
| dc.subject | Statistical Mechanics | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.subject | Quantitative Methods | |
| dc.title | The role of clustering and gridlike ordering in epidemic spreading | |
| dc.type | text |