Work

Percolation and Epidemic Thresholds in Clustered Networks

Year: 2006
Type: article
Abstract: We develop a theoretical approach to percolation in random clustered networks. We find that, although clustering in scale-free networks can strongly affect some percolation properties, such as the size and the resilience of the giant connected component, it cannot restore a finite percolation threshold. In turn, this implies the absence of an epidemic threshold in this class of networks, thus extending this result to a wide variety of real scale-free networks which shows a high level of transitivity. Our findings are in good agreement with numerical simulations.
Language: English
Open Access status: bronze
OpenAlex ID: W2168262105
FWCI: 7.607
Cites: 26
Cited by: 183
Related to: 9