Abstract
The spreading of viruses in networks with high clustering and degree correlations as found in the Internet graph was analyzed. The prevalence undergoes a phase transition at a finite threshold of the transmission probability for the susceptible-infected-susceptible model of epidemics. Results suggested that high clustering and degree correlations protected scale-free networks against the spreading of viruses when compared with the absence of a finite threshold in networks with purely random writing.
| Original language | English |
|---|---|
| Article number | 108701 |
| Pages (from-to) | 1087011-1087014 |
| Number of pages | 4 |
| Journal | Physical Review Letters |
| Volume | 89 |
| Issue number | 10 |
| Publication status | Published - Sep 2 2002 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Physics and Astronomy(all)
- Medicine(all)
Cite this
Epidemic threshold in structured scale-free networks. / Eguíluz, Víctor M.; Klemm, Konstantin.
In: Physical Review Letters, Vol. 89, No. 10, 108701, 02.09.2002, p. 1087011-1087014.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Epidemic threshold in structured scale-free networks
AU - Eguíluz, Víctor M.
AU - Klemm, Konstantin
PY - 2002/9/2
Y1 - 2002/9/2
N2 - The spreading of viruses in networks with high clustering and degree correlations as found in the Internet graph was analyzed. The prevalence undergoes a phase transition at a finite threshold of the transmission probability for the susceptible-infected-susceptible model of epidemics. Results suggested that high clustering and degree correlations protected scale-free networks against the spreading of viruses when compared with the absence of a finite threshold in networks with purely random writing.
AB - The spreading of viruses in networks with high clustering and degree correlations as found in the Internet graph was analyzed. The prevalence undergoes a phase transition at a finite threshold of the transmission probability for the susceptible-infected-susceptible model of epidemics. Results suggested that high clustering and degree correlations protected scale-free networks against the spreading of viruses when compared with the absence of a finite threshold in networks with purely random writing.
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UR - http://www.scopus.com/inward/citedby.url?scp=4043049130&partnerID=8YFLogxK
M3 - Article
C2 - 12225235
AN - SCOPUS:4043049130
VL - 89
SP - 1087011
EP - 1087014
JO - Physical Review Letters
JF - Physical Review Letters
SN - 0031-9007
IS - 10
M1 - 108701
ER -