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相关论文: Exact and Approximate Mean First Passage Times on …

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We provide an explicit formula for the global mean first-passage time (GMFPT) for random walks in a general graph with a perfect trap fixed at an arbitrary node, where GMFPT is the average of mean first-passage time to the trap over all…

统计力学 · 物理学 2012-09-28 Yuan Lin , Alafate Julaiti , Zhongzhi Zhang

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

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

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

For random walks on networks (graphs), it is a theoretical challenge to explicitly determine the mean first-passage time (MFPT) between two nodes averaged over all pairs. In this paper, we study the MFPT of random walks in the famous…

统计力学 · 物理学 2009-10-27 Zhongzhi Zhang , Yuan Lin , Shuigeng Zhou , Bin Wu , Jihong Guan

Random walks have wide application in real lives, ranging from target search, reaction kinetics, polymer chains, to the forecast of the arrive time of extreme events, diseases or opinions. In this paper, we consider discrete random walks on…

概率论 · 数学 2020-01-22 Junhao Peng , Renxiang Shao , Huoyun Wang

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

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

The explicit determinations of the mean first-passage time (MFPT) for trapping problem are limited to some simple structure, e.g., regular lattices and regular geometrical fractals, and determining MFPT for random walks on other media,…

统计力学 · 物理学 2009-03-05 Zhongzhi Zhang , Yi Qi , Shuigeng Zhou , Wenlei Xie , Jihong Guan

We perform an in-depth study for mean first-passage time (MFPT)---a primary quantity for random walks with numerous applications---of maximal-entropy random walks (MERW) performed in complex networks. For MERW in a general network, we…

统计力学 · 物理学 2014-06-17 Yuan Lin , Zhongzhi Zhang

We study the properties of random walks on complex trees. We observe that the absence of loops reflects in physical observables showing large differences with respect to their looped counterparts. First, both the vertex discovery rate and…

统计力学 · 物理学 2008-10-21 Andrea Baronchelli , Michele Catanzaro , Romualdo Pastor-Satorras

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 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

We study the random walk problem on a deterministic scale-free network, in the presence of a set of static, identical targets; due to the strong inhomogeneity of the underlying structure the mean first-passage time (MFPT), meant as a…

统计力学 · 物理学 2014-09-04 Elena Agliari , Raffaella Burioni , Alessandro Manzotti

Let $m_{ij}$ be the mean first passage time from state $i$ to state $j$ in an $n$-state ergodic homogeneous Markov chain with transition matrix $T$. Let $G$ be the weighted digraph without loops whose vertex set coincides with the set of…

概率论 · 数学 2017-12-27 Pavel Chebotarev

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

The first-passage time (FPT) is the time it takes a system variable to cross a given boundary for the first time. In the context of Markov networks, the FPT is the time a random walker takes to reach a particular node (target) by hopping…

分子网络 · 定量生物学 2024-03-22 Jaroslav Albert

The first passage time (FPT) distribution for random walk in complex networks is calculated through an asymptotic analysis. For network with size $N$ and short relaxation time $\tau\ll N$, the computed mean first passage time (MFPT), which…

统计力学 · 物理学 2013-01-29 Hon Wai Lau , Kwok Yip Szeto

The problem of how to estimate diffusion on a graph effectively is of importance both theoretically and practically. In this paper, we make use of two widely studied indices, geodesic distance and mean first-passage time ($MFPT$) for random…

组合数学 · 数学 2019-10-17 Fei Ma , Xiaomin Wang , Ping Wang

Many transport processes in ecology, physics and biochemistry can be described by the average time to first find a site or exit a region, starting from an initial position. Typical mathematical treatments are based on formulations that…

偏微分方程分析 · 数学 2025-01-16 Thomas Hillen , Maria R. D'Orsogna , Jacob C. Mantooth , Alan E. Lindsay
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