Title
Tight bounds on vertex connectivity under vertex sampling
Abstract
A fundamental result by Karger [10] states that for any λ-edge-connected graph with n nodes, independently sampling each edge with probability p = Ω(log n/λ) results in a graph that has edge connectivity Ω(λp), with high probability. This paper proves the analogous result for vertex connectivity, when sampling vertices. We show that for any k-vertex-connected graph G with n nodes, if each node is independently sampled with probability p = Ω([EQUATION]log n/k), then the subgraph induced by the sampled nodes has vertex connectivity Ω(kp2), with high probability. This bound improves upon the recent results of Censor-Hillel et al. [6], and is existentially optimal.
Year
DOI
Venue
2015
10.5555/2722129.2722262
SODA
DocType
ISBN
Citations 
Conference
978-1-61197-433-1
3
PageRank 
References 
Authors
0.40
9
5
Name
Order
Citations
PageRank
Keren Censor-Hillel123531.73
Mohsen Ghaffari245244.89
George Giakkoupis324820.48
Bernhard Haeupler462854.00
Fabian Kuhn541.77