Collisions among random walks on a graph
SIAM Journal on Discrete Mathematics
A tight upper bound on the cover time for random walks on graphs
Random Structures & Algorithms
A tight lower bound on the cover time for random walks on graphs
Random Structures & Algorithms
The cover time of sparse random graphs.
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
The cover time of two classes of random graphs
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
The power of choice in random walks: an empirical study
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
The cover time of the preferential attachment graph
Journal of Combinatorial Theory Series B
On the cover time and mixing time of random geometric graphs
Theoretical Computer Science
The power of choice in random walks: An empirical study
Computer Networks: The International Journal of Computer and Telecommunications Networking
Many random walks are faster than one
Proceedings of the twentieth annual symposium on Parallelism in algorithms and architectures
The hitting and cover times of random walks on finite graphs using local degree information
Theoretical Computer Science
Expander properties and the cover time of random intersection graphs
Theoretical Computer Science
The wandering token: Congestion avoidance of a shared resource
Future Generation Computer Systems
On the cover time of random geometric graphs
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
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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The cover time, C, for a simple random walk on a realization, GN, of 𝒢(N, p), the random graph on N vertices where each two vertices have an edge between them with probability p independently, is studied. The parameter p is allowed to decrease with N and p is written on the form f(N)/N, where it is assumed that f(N)≥c log N for some c1 to asymptotically ensure connectedness of the graph. It is shown that if f(N) is of higher order than log N, then, with probability 1−o(1), (1−ε)N log N≤E[C∣GN] ≤(1+ε)N log N for any fixed ε0, whereas if f(N)=O(log N), there exists a constant a0 such that, with probability 1−o(1), E[C∣GN] ≥(1+a)N log N. It is furthermore shown that if f(N) is of higher order than (log N)3 then Var(C∣GN)= o((N log N)2) with probability 1−o(1), so that with probability 1−o(1), the stronger statement that (1−ε)N log N≤C≤(1+ε)N log N holds.