Approximate counting, uniform generation and rapidly mixing Markov chains
Information and Computation
Algorithms for random generation and counting: a Markov chain approach
Algorithms for random generation and counting: a Markov chain approach
Approximating layout problems on random geometric graphs
Journal of Algorithms
Short Vertex Disjoint Paths and Multiconnectivity in Random Graphs: Reliable Network Computing
ICALP '94 Proceedings of the 21st International Colloquium on Automata, Languages and Programming
A Random Graph Model for Optical Networks of Sensors
IEEE Transactions on Mobile Computing
On Random Intersection Graphs: The Subgraph Problem
Combinatorics, Probability and Computing
The vertex degree distribution of random intersection graphs
Random Structures & Algorithms - Isaac Newton Institute Programme “Computation, Combinatorics and Probability”: Part I
On the existence of hamiltonian cycles in random intersection graphs
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
Simple and efficient greedy algorithms for hamilton cycles in random intersection graphs
ISAAC'05 Proceedings of the 16th international conference on Algorithms and Computation
Expander properties and the cover time of random intersection graphs
Theoretical Computer Science
Expander properties and the cover time of random intersection graphs
MFCS'07 Proceedings of the 32nd international conference on Mathematical Foundations of Computer Science
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In this paper we examine spectral properties of random intersection graphs when the number of vertices is equal to the number of labels. We call this class symmetric random intersection graphs. We examine symmetric random intersection graphs when the probability that a vertex selects a label is close to the connectivity threshold τc. In particular, we examine the size of the second eigenvalue of the transition matrix corresponding to the Markov Chain that describes a random walk on an instance of the symmetric random intersection graph Gn,n,p. We show that with high probability the second eigenvalue is upper bounded by some constant ζ