We consider the following probabilistic model of a graph on n labeled vertices. ## Ε½ . First choose a random graph G n, 1r2 , and then choose randomly a subset Q of vertices of size k and force it to be a clique by joining every pair of vertices of Q by an edge. The problem is to give a polynomia
Finding and certifying a large hidden clique in a semirandom graph
β Scribed by Uriel Feige; Robert Krauthgamer
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 150 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1042-9832
No coin nor oath required. For personal study only.
β¦ Synopsis
designed an algorithm based on spectral techniques that almost surely finds a clique of size β n hidden in an otherwise random graph. We show that a different algorithm, based on the LovΓ‘sz theta function, almost surely both finds the hidden clique and certifies its optimality. Our algorithm has an additional advantage of being more robust: it also works in a semirandom hidden clique model, in which an adversary can remove edges from the random portion of the graph.
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