The effect of network topology on the spread of epidemics

DMCA

The effect of network topology on the spread of epidemics (2005)

Cached

Download Links

Other Repositories/Bibliography

DBLP

by A. Ganesh , L. Massoulié , D. Towsley

Venue:	IN IEEE INFOCOM
Citations:	215 - 8 self

BibTeX

@INPROCEEDINGS{Ganesh05theeffect,
    author = {A. Ganesh and L. Massoulié and D. Towsley},
    title = {The effect of network topology on the spread of epidemics},
    booktitle = {IN IEEE INFOCOM},
    year = {2005},
    pages = {1455--1466},
    publisher = {}
}

OpenURL

Abstract

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. In this paper we address the question of what makes an epidemic either weak or potent. More precisely, we identify topological properties of the graph that determine the persistence of epidemics. In particular, we show that if the ratio of cure to infection rates is smaller than the spectral radius of the graph, then the mean epidemic lifetime is of order log n, where n is the number of nodes. Conversely, if this ratio is bigger than a generalization of the isoperimetric constant of the graph, then the mean epidemic lifetime is of order � Ò�, for a positive constant �. We apply these results to several network topologies including the hypercube, which is a representative connectivity graph for a distributed hash table, the complete graph, which is an important connectivity graph for BGP, and the power law graph, of which the AS-level Internet graph is a prime example. We also study the star topology and the Erdős-Rényi graph as their epidemic spreading behaviors determine the spreading behavior of power law graphs.

Keyphrases

network topology power law graph mean epidemic lifetime email virus spectral radius positive constant complete graph important connectivity graph distributed hash table topological property many type erd s-r nyi graph star topology as-level internet graph representative connectivity graph several network topology infection rate isoperimetric constant information dissemination epidemic spreading behavior prime example order log prominent example many network phenomenon

DMCA