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We derive an approximate but explicit formula for the Mean First Passage Time of a random walker between a source and a target node of a directed and weighted network. The formula does not require any matrix inversion, and it takes as only…

统计力学 · 物理学 2021-11-10 Silvia Bartolucci , Fabio Caccioli , Francesco Caravelli , Pierpaolo Vivo

In this paper, we are concerned with mean hitting time $\langle\mathcal{H}\rangle$ for random walks on recursive growth tree networks that are built based on an arbitrary tree as the seed via implementing various primitive graphic…

组合数学 · 数学 2021-12-10 Fei Ma , Ping Wang

We show that the transience or recurrence of a random walk in certain random environments on an arbitrary infinite locally finite tree is determined by the branching number of the tree, which is a measure of the average number of branches…

概率论 · 数学 2007-05-23 Robin Pemantle , Russell Lyons

We obtain an exact formula for the first-passage time probability distribution for random walks on complex networks using inverse Laplace transform. We write the formula as the summation of finitely many terms with different frequencies…

统计力学 · 物理学 2018-12-17 Mucong Ding , Kwok Yip Szeto

The determination of mean first-passage time (MFPT) for random walks in networks is a theoretical challenge, and is a topic of considerable recent interest within the physics community. In this paper, according to the known connections…

统计力学 · 物理学 2010-01-30 Zhongzhi Zhang , Yi Qi , Shuigeng Zhou , Shuyang Gao , Jihong Guan

We study discrete-time random walks on arbitrary networks with first-passage resetting processes. To the end, a set of nodes are chosen as observable nodes, and the walker is reset instantaneously to a given resetting node whenever it hits…

统计力学 · 物理学 2021-06-30 Feng Huang , Hanshuang Chen

We design a method to optimize the global mean first-passage time (GMFPT) of multiple random walkers searching in complex networks for a general target, without specifying the property of the target node. According to the Laplace…

物理与社会 · 物理学 2018-12-13 Mucong Ding , Kwok Yip Szeto

In this paper, we investigate random walks in a family of small-world trees having an exponential degree distribution. First, we address a trapping problem, that is, a particular case of random walks with an immobile trap located at the…

统计力学 · 物理学 2011-08-25 Zhongzhi Zhang , Xintong Li , Yuan Lin , Guanrong Chen

In this paper, we propose a general framework for the trapping problem on a weighted network with a perfect trap fixed at an arbitrary node. By utilizing the spectral graph theory, we provide an exact formula for mean first-passage time…

统计力学 · 物理学 2013-07-04 Yuan Lin , Zhongzhi Zhang

We present an analytical method for computing the mean cover time of a random walk process on arbitrary, complex networks. The cover time is defined as the time a random walker requires to visit every node in the network at least once. This…

统计力学 · 物理学 2018-08-02 Benjamin F. Maier , Dirk Brockmann

Relatively general techniques for computing mean first-passage time (MFPT) of random walks on networks with a specific property are very useful, since a universal method for calculating MFPT on general graphs is not available because of…

统计力学 · 物理学 2010-10-01 Yuan Lin , Bin Wu , Zhongzhi Zhang

We study random walks with stochastic resetting to the initial position on arbitrary networks. We obtain the stationary probability distribution as well as the mean and global first passage times, which allow us to characterize the effect…

统计力学 · 物理学 2020-07-03 Alejandro P. Riascos , Denis Boyer , Paul Herringer , José L. Mateos

The spectral theory of random walks on networks of arbitrary topology can be readily extended to study random walks and L\'evy flights subject to resetting on these structures. When a discrete-time process is stochastically brought back…

统计力学 · 物理学 2022-06-22 Alejandro P. Riascos , Denis Boyer , José L. Mateos

We study the problem of searching for a fixed path $\epsilon_0\epsilon_1\cdots\epsilon_l$ on a network through random walks. We analyze the first hitting time of tracking the path, and obtain exact expression of mean first hitting time…

无序系统与神经网络 · 物理学 2010-07-13 Shao-Ping Wang , Wen-Jiang Pei

In this paper, by using two different techniques we derive an explicit formula for the mean first-passage time (MFPT) between any pair of nodes on a general undirected network, which is expressed in terms of eigenvalues and eigenvectors of…

统计力学 · 物理学 2012-01-04 Zhongzhi Zhang , Alafate Julaiti , Baoyu Hou , Hongjuan Zhang , Guanrong Chen

In this paper we present a computation of the mean first-passage times both for a random walk in a discrete bounded lattice, between a starting site and a target site, and for a Brownian motion in a bounded domain, where the target is a…

统计力学 · 物理学 2007-05-23 Sylvain Condamin , Olivier Bénichou , Michel Moreau

In this work we propose a novel method to calculate mean first-passage times (MFPTs) for random walks on graphs, based on a dimensionality reduction technique for Markov State Models, known as local-equilibrium (LE). We show that for a…

统计力学 · 物理学 2022-03-09 Yanik-Pascal Förster , Luca Gamberi , Evan Tzanis , Pierpaolo Vivo , Alessia Annibale

In this paper we address the problem of the calculation of the mean first passage time (MFPT) on generic graphs. We focus in particular on the mean first passage time on a node 's' for a random walker starting from a generic, unknown, node…

统计力学 · 物理学 2007-05-23 Andrea Baronchelli , Vittorio Loreto

We present a general framework, applicable to a broad class of random walks on complex networks, which provides a rigorous lower bound for the mean first-passage time of a random walker to a target site averaged over its starting position,…

统计力学 · 物理学 2015-05-14 V. Tejedor , O. Bénichou , R. Voituriez

We investigate random walks on complex networks and derive an exact expression for the mean first passage time (MFPT) between two nodes. We introduce for each node the random walk centrality $C$, which is the ratio between its coordination…

统计力学 · 物理学 2007-05-23 Jae Dong Noh , Heiko Rieger
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