Epidemic spread in weighted networks
| dc.creator | Yan, G. | |
| dc.creator | Zhou, Tao | |
| dc.creator | Wang, Jie | |
| dc.creator | Fu, Zhongqian | |
| dc.creator | Wang, Binghong | |
| dc.date | 2004-07-22 | |
| dc.date.accessioned | 2026-07-07T02:59:21Z | |
| dc.date.available | 2026-07-07T02:59:21Z | |
| dc.description | We study the detailed epidemic spreading process in scale-free networks with weight that denote familiarity between two people or computers. The result shows that spreading velocity reaches a peak quickly then decays representing power-law time behavior, and comparing to non-weighted networks, precise hierarchical dynamics is not found although the nodes with larger strength is preferential to be infected. | |
| dc.description | 3 pages, 2 figures | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0407598 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0407598 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/24477 | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.title | Epidemic spread in weighted networks | |
| dc.type | text |