Consider the random walk on graphs such that, at each step, the next visited vertex is a neighbor of the current vertex, chosen with probability propor-tional 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 n2. On the other hand, the maximal mean hitting time for the simple random walk is asymptotically dominated by n3. 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 strictly smaller for the s...
A simple random walk on a graph is a sequence of movements from one vertex to another where at each ...
We study the biased random walk where at each step of a random walk a ``controller'' can, with a cer...
AbstractWe apply the power-of-two-choices paradigm to a random walk on a graph: rather than moving t...
International audienceConsider the random walk on graphs such that, at each step, the next visited v...
For random walks on finite graphs, we record some equalities, inequalities and limit theorems (as th...
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...
We analyse the cover time of a random walk on a random graph of a given degree sequence. Weights are...
AbstractA random walk on a graph is defined in which a particle moves from one vertex to any adjoini...
We analyse the following random walk process inspired by the power-of-two-choice paradigm: starting ...
AbstractIt is known that for a random walk on a connected graph G on N vertices {xl,…,xN} satisfying...
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 ...
Copyright c © 2009 Meng Wang. The author grants Macalester College the nonexclusive right to make th...
A graph G consists of a set of vertices connected in pairs by edges. Two vertices connected by an e...
A simple random walk on a graph is a sequence of movements from one vertex to another where at each ...
We study the biased random walk where at each step of a random walk a ``controller'' can, with a cer...
AbstractWe apply the power-of-two-choices paradigm to a random walk on a graph: rather than moving t...
International audienceConsider the random walk on graphs such that, at each step, the next visited v...
For random walks on finite graphs, we record some equalities, inequalities and limit theorems (as th...
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...
We analyse the cover time of a random walk on a random graph of a given degree sequence. Weights are...
AbstractA random walk on a graph is defined in which a particle moves from one vertex to any adjoini...
We analyse the following random walk process inspired by the power-of-two-choice paradigm: starting ...
AbstractIt is known that for a random walk on a connected graph G on N vertices {xl,…,xN} satisfying...
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 ...
Copyright c © 2009 Meng Wang. The author grants Macalester College the nonexclusive right to make th...
A graph G consists of a set of vertices connected in pairs by edges. Two vertices connected by an e...
A simple random walk on a graph is a sequence of movements from one vertex to another where at each ...
We study the biased random walk where at each step of a random walk a ``controller'' can, with a cer...
AbstractWe apply the power-of-two-choices paradigm to a random walk on a graph: rather than moving t...