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Connectivity and Fault-Tolerance in Random Regular Graphs

2000; Nikoletseas, Palem, Spirakis, Yung

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Robustness      

Problem Definition

A new model of random graphs was introduced in [7], that of random regular graphs with edge faults (denoted hereafter by \( { G_{n,p}^{r} } \)), obtained by selecting the edges of a random member of the set of all regular graphs of degree r independently and with probability p. Such graphs can represent a communication network in which the links fail independently and with probability \( { f=1-p } \). A formal definition of the probability space \( { G_{n,p}^{r} } \) follows.

Definition 1 (the G r n, p probability space)

Let \( { G_{n}^{r} } \) be the probability space of all random regular graphs with n vertices where the degree of each vertex is r. The probability space \( { G_{n,p}^{r} } \) of random regular graphs with edge faults is constructed by the following two subsequent random experiments: first, a random regular graph is chosen from the space \( { G_{n}^{r} } \)and, second, each edge is randomly and independently deleted...

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© 2008 Springer-Verlag

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Nikoletseas, S. (2008). Connectivity and Fault-Tolerance in Random Regular Graphs. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30162-4_90

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