Abstract. “Small worlds ” are large systems in which any given node has only a few con-nections to other points, but possessing the property that all pairs of points are connected by a short path, typically logarithmic in the number of nodes. The use of random walks for sampling a uniform element from a large state space is by now a classical technique; to prove that such a technique works for a given network, a bound on the mixing time is re-quired. However, little detailed information is known about the behaviour of random walks on small-world networks, though many predictions can be found in the physics literature. The principal contribution of this paper is to show that for a famous small-world random graph model known as the Newman–Wat...
We consider the mixing time of random walks on a graph G, using the eigenvalue gap to measure the mi...
We use techniques from applied matrix analysis to study small world cutoff in a Markov chain. Our mo...
We consider a dynamic random graph on n vertices that is obtained by starting from a random graph ge...
"Small worlds" are large networks in which any given node has only a few connections to other nodes,...
We study the mixing time of random walks on small-world networks modelled as follows: starting with ...
We study the mixing time of random walks on small-world networks modelled as follows: starting with ...
The theory of rapid mixing random walks plays a fundamental role in the study of modern randomised a...
Abstract. We develop Markov chain mixing time estimates for a class of Markov chains with restricted...
The mixing time of a random walk, with or without backtracking, on a random graph generated accordin...
A graph G consists of a set of vertices connected in pairs by edges. Two vertices connected by an e...
AbstractA small world is obtained from the d-dimensional torus of size 2L adding randomly chosen con...
The mixing time of a random walk, with or without backtracking, on a random graph generated accordin...
We study the mean traversal time tau for a class of random walks on Newman-Watts small-world network...
Abstract. We study random walks on the giant component of the Erdős-Rényi random graph G(n, p) whe...
In this thesis we study the mixing times of Markov chains, e.g., therate of convergence of Markov ch...
We consider the mixing time of random walks on a graph G, using the eigenvalue gap to measure the mi...
We use techniques from applied matrix analysis to study small world cutoff in a Markov chain. Our mo...
We consider a dynamic random graph on n vertices that is obtained by starting from a random graph ge...
"Small worlds" are large networks in which any given node has only a few connections to other nodes,...
We study the mixing time of random walks on small-world networks modelled as follows: starting with ...
We study the mixing time of random walks on small-world networks modelled as follows: starting with ...
The theory of rapid mixing random walks plays a fundamental role in the study of modern randomised a...
Abstract. We develop Markov chain mixing time estimates for a class of Markov chains with restricted...
The mixing time of a random walk, with or without backtracking, on a random graph generated accordin...
A graph G consists of a set of vertices connected in pairs by edges. Two vertices connected by an e...
AbstractA small world is obtained from the d-dimensional torus of size 2L adding randomly chosen con...
The mixing time of a random walk, with or without backtracking, on a random graph generated accordin...
We study the mean traversal time tau for a class of random walks on Newman-Watts small-world network...
Abstract. We study random walks on the giant component of the Erdős-Rényi random graph G(n, p) whe...
In this thesis we study the mixing times of Markov chains, e.g., therate of convergence of Markov ch...
We consider the mixing time of random walks on a graph G, using the eigenvalue gap to measure the mi...
We use techniques from applied matrix analysis to study small world cutoff in a Markov chain. Our mo...
We consider a dynamic random graph on n vertices that is obtained by starting from a random graph ge...