Immunization and targeted destruction of networks using explosive percolation
March 31, 2016 Β· Declared Dead Β· π Physical Review Letters
"No code URL or promise found in abstract"
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Authors
Pau Clusella, Peter Grassberger, Francisco J. Perez-Reche, Antonio Politi
arXiv ID
1604.00073
Category
physics.soc-ph
Cross-listed
cond-mat.dis-nn,
cs.SI
Citations
106
Venue
Physical Review Letters
Last Checked
4 months ago
Abstract
A new method (`explosive immunization' (EI)) is proposed for immunization and targeted destruction of networks. It combines the explosive percolation (EP) paradigm with the idea of maintaining a fragmented distribution of clusters. The ability of each node to block the spread of an infection (or to prevent the existence of a large cluster of connected nodes) is estimated by a score. The algorithm proceeds by first identifying low score nodes that should not be vaccinated/destroyed, analogously to the links selected in EP if they do not lead to large clusters. As in EP, this is done by selecting the worst node (weakest blocker) from a finite set of randomly chosen `candidates'. Tests on several real-world and model networks suggest that the method is more efficient and faster than any existing immunization strategy. Due to the latter property it can deal with very large networks.
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