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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 present the analytical and numerical results of a random walk on the family of small-world graphs. The average access time shows a crossover from the regular to random behavior with increasing distance from the starting point of the…

统计力学 · 物理学 2009-10-31 Sagar A. Pandit , R. E. Amritkar

Paths are important structural elements in complex networks because they are finite (unlike walks), related to effective node coverage (minimum spanning trees), and can be understood as being dual to star connectivity. This article…

物理与社会 · 物理学 2007-12-05 Luciano da Fontoura Costa

An ensemble of trajectories with dynamical activity and first-passage time (FPT) is considered in the context of the thermodynamics of trajectories. The relationship between the average FPT and the total change in entropy is determined,…

统计力学 · 物理学 2024-12-10 V. V. Ryazanov

When does a diffusing particle reach its target for the first time? This first-passage time (FPT) problem is central to the kinetics of molecular reactions in chemistry and molecular biology. Here we explain the behavior of smooth FPT…

统计力学 · 物理学 2016-11-24 A. Godec , R. Metzler

A wide variety of real-life networks share two remarkable generic topological properties: scale-free behavior and modular organization, and it is natural and important to study how these two features affect the dynamical processes taking…

统计力学 · 物理学 2009-11-21 Zhongzhi Zhang , Yuan Lin , Shuyang Gao , Shuigeng Zhou , Jihong Guan , Mo Li

We propose an approximation for the first return time distribution of random walks on undirected networks. We combine a message-passing solution with a mean-field approximation, to account for the short- and long-term behaviours…

社会与信息网络 · 计算机科学 2025-06-17 Erik Hormann , Renaud Lambiotte , George T. Cantwell

We present general methods to exactly calculate mean-first passage quantities on self-similar networks defined recursively. In particular, we calculate the mean first-passage time and the splitting probabilities associated to a source and…

统计力学 · 物理学 2015-06-04 B. Meyer , E. Agliari , O. Bénichou , R. Voituriez

In general, the power-law degree distribution has profound influence on various dynamical processes defined on scale-free networks. In this paper, we will show that power-law degree distribution alone does not suffice to characterize the…

统计力学 · 物理学 2009-12-09 Zhongzhi Zhang , Weilen Xie , Shuigeng Zhou , Mo Li , Jihong Guan

The kinetics of a variety of transport-controlled processes can be reduced to the problem of determining the mean time needed to arrive at a given location for the first time, the so called mean first passage time (MFPT) problem. The…

统计力学 · 物理学 2015-06-11 Aljaz Godec , Ralf Metzler

We describe and study a transport based procedure called NetOTC (network optimal transition coupling) for the comparison and alignment of two networks. The networks of interest may be directed or undirected, weighted or unweighted, and may…

机器学习 · 计算机科学 2024-02-07 Bongsoo Yi , Kevin O'Connor , Kevin McGoff , Andrew B. Nobel

Tracking the movement of tracer particles has long been a strategy for uncovering complex structures. Here, we study discrete-time random walks on finite Cayley trees to infer key parameters such as tree depth and geometric bias toward the…

统计力学 · 物理学 2025-12-01 Fabian H. Kreten , Ludger Santen , Reza Shaebani

We consider a continuous-time random walk model with finite-mean waiting-times and we study the mean first-passage time (MFPT) as estimated by an observer in a reference frame $\mathcal{S}$, that is co-moving with a target, and by an…

统计力学 · 物理学 2023-06-14 Marcus Dahlenburg , Gianni Pagnini

We investigate searching efficiency of different kinds of random walk on complex networks which rely on local information and one-step memory. For the studied navigation strategies we obtained theoretical and numerical values for the graph…

计算机与社会 · 计算机科学 2024-11-15 Miroslav Mirchev , Lasko Basnarkov , Igor Mishkovski

In complex networks, centrality metrics quantify the connectivity of nodes and identify the most important ones in the transmission of signals. In many real world networks, especially in transportation systems, links are dynamic, i.e. their…

物理与社会 · 物理学 2019-03-08 Silvia Zaoli , Piero Mazzarisi , Fabrizio Lillo

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

Controllability, a basic property of various networked systems, has gained profound theoretical applications in complex social, technological, biological, and brain networks. Yet, little attention has been given to the control trajectory…

最优化与控制 · 数学 2018-06-13 Aming Li , Long Wang , Frank Schweitzer

In this work we investigate the dynamics of random walk processes on scale-free networks in a short to moderate time scale. We perform extensive simulations for the calculation of the mean squared displacement, the network coverage and the…

无序系统与神经网络 · 物理学 2009-11-10 Lazaros K. Gallos

We present analytical results for the distribution of first-passage (FP) times of random walks (RWs) on random regular graphs that consist of $N$ nodes of degree $c \ge 3$. Starting from a random initial node at time $t=0$, at each time…

统计力学 · 物理学 2022-11-28 Ido Tishby , Ofer Biham , Eytan Katzav

Random walks including non-nearest-neighbor jumps appear in many real situations such as the diffusion of adatoms and have found numerous applications including PageRank search algorithm, however, related theoretical results are much less…

化学物理 · 物理学 2015-10-05 Zhongzhi Zhang , Yuze Dong , Yibin Sheng