International audienceConsider the random walk on graphs such that, at each step, the next visited vertex is a neighbor of the current vertex, chosen with probability proportional to the inverse of the square root of its degree. On one hand, for every graph with n vertices, the maximal mean hitting time for this degree-biased random walk is asymptotically dominated by n 2. On the other hand, the maximal mean hitting time for the simple random walk is asymptotically dominated by n 3. Yet, in this article, we exhibit for each positive integer n: • A graph of size n with maximal mean hitting time strictly smaller for the simple random walk than for the degree-biased one. • A graph of size n with mean hitting time of a so called root vertex str...
Biased random walk has been studied extensively over the past decade especially in the transport and...
Biased random walk has been studied extensively over the past decade especially in the transport and...
Copyright c © 2009 Meng Wang. The author grants Macalester College the nonexclusive right to make th...
International audienceConsider the random walk on graphs such that, at each step, the next visited v...
Consider the random walk on graphs such that, at each step, the next visited vertex is a neighbor of...
We analyse the following random walk process inspired by the power-of-two-choice paradigm: starting ...
For random walks on finite graphs, we record some equalities, inequalities and limit theorems (as th...
We analyse the cover time of a random walk on a random graph of a given degree sequence. Weights are...
We analyse the following random walk process inspired by the power-of-two-choice paradigm: starting ...
AbstractStandard random walks on finite graphs select the vertex visited next to the adjacent vertic...
It is well known that the computation of the expected hitting times for random walks on graphs with ...
We study random walks on the giant component of Hyperbolic Random Graphs (HRGs), in the regime when ...
A graph G consists of a set of vertices connected in pairs by edges. Two vertices connected by an e...
AbstractA random walk on a graph is defined in which a particle moves from one vertex to any adjoini...
AbstractIt is known that for a random walk on a connected graph G on N vertices {xl,…,xN} satisfying...
Biased random walk has been studied extensively over the past decade especially in the transport and...
Biased random walk has been studied extensively over the past decade especially in the transport and...
Copyright c © 2009 Meng Wang. The author grants Macalester College the nonexclusive right to make th...
International audienceConsider the random walk on graphs such that, at each step, the next visited v...
Consider the random walk on graphs such that, at each step, the next visited vertex is a neighbor of...
We analyse the following random walk process inspired by the power-of-two-choice paradigm: starting ...
For random walks on finite graphs, we record some equalities, inequalities and limit theorems (as th...
We analyse the cover time of a random walk on a random graph of a given degree sequence. Weights are...
We analyse the following random walk process inspired by the power-of-two-choice paradigm: starting ...
AbstractStandard random walks on finite graphs select the vertex visited next to the adjacent vertic...
It is well known that the computation of the expected hitting times for random walks on graphs with ...
We study random walks on the giant component of Hyperbolic Random Graphs (HRGs), in the regime when ...
A graph G consists of a set of vertices connected in pairs by edges. Two vertices connected by an e...
AbstractA random walk on a graph is defined in which a particle moves from one vertex to any adjoini...
AbstractIt is known that for a random walk on a connected graph G on N vertices {xl,…,xN} satisfying...
Biased random walk has been studied extensively over the past decade especially in the transport and...
Biased random walk has been studied extensively over the past decade especially in the transport and...
Copyright c © 2009 Meng Wang. The author grants Macalester College the nonexclusive right to make th...