| Publisher | Microsoft | ||
|---|---|---|---|
| Format | 182.4KB PDF | Date added | 14 Dec 2004 |
| Topics | Data Visualization, Network Security | ||
| Downloads | 64 | ||
Many network phenomena are well modeled as spreads of epidemics through a network. Prominent examples include the spread of worms and email viruses, and, more generally, faults. Many types of information dissemination can also be modeled as spreads of epidemics. This paper addresses the question of what makes an epidemic either weak or potent. More precisely, it identifies topological properties of the graph that determine the persistence of epidemics.
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