The DOI matches its Crossref record.
Optimal attack and reinforcement of a network
Abstract
In a nonnegative edge-weighted network, the weight of an edge represents the effort required by an attacker to destroy the edge, and the attacker derives a benefit for each new component created by destroying edges. The attacker may want to minimize over subsets of edges the difference between (or the ratio of) the effort incurred and the benefit received. This idea leads to the definition of the “strength” of the network, a measure of the resistance of the network to such attacks. Efficient algorithms for the optimal attack problem, the problem of computing the strength, and the problem of finding a minimum cost “reinforcement” to achieve a desired strength are given. These problems are also solved for a different model, in which the attacker wants to separate vertices from a fixed central vertex.
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Citations
Cited by
A Fast Parametric Maximum Flow Algorithm and Applications
Gallo, G., Grigoriadis, M. D., & Tarjan, R. E. (1989) · SIAM Journal on Computing · doi:10.1137/0218003 · Cited by 427
Metadata
- Authors
- Cunningham, W. H.
- Venue
- Journal of the ACM
- Published
- 1985-07
- Volume
- 32
- Issue
- 3
- Pages
- 549-561
- ISSN
- 0004-5411 (ISSN-L)
- 1557-735X
- OpenAlex
- W2065320942
- Cited by
- 253
- References
- 0
- FWCI
- 2.22
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.