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Random walks constitute a fundamental mechanism for a large set of dynamics taking place on networks. In this article, we study random walks on weighted networks with an arbitrary degree distribution, where the weight of an edge between two…

统计力学 · 物理学 2013-01-17 Zhongzhi Zhang , Tong Shan , Guanrong Chen

Extensive empirical investigation has shown that a plethora of real networks synchronously exhibit scale-free and modular structure, and it is thus of great importance to uncover the effects of these two striking properties on various…

统计力学 · 物理学 2012-01-05 Zhongzhi Zhang , Yihang Yang , Yuan Lin

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

Previous work shows that the mean first-passage time (MFPT) for random walks to a given hub node (node with maximum degree) in uncorrelated random scale-free networks is closely related to the exponent $\gamma$ of power-law degree…

统计力学 · 物理学 2010-11-12 Zhongzhi Zhang , Shuyang Gao , Wenlei Xie

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

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

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 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

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

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

The first passage time (FPT) for random walks is a key indicator of how fast information diffuses in a given system. Despite the role of FPT as a fundamental feature in transport phenomena, its behavior, particularly in heterogeneous…

统计力学 · 物理学 2015-06-05 S. Hwang , D. -S. Lee , B. Kahng

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

Designing optimal structure favorable to diffusion and effectively controlling the trapping process are crucial in the study of trapping problem---random walks with a single trap. In this paper, we study the trapping problem occurring on…

统计力学 · 物理学 2015-08-12 Yihang Yang , Zhongzhi Zhang

The mean first passage time~(MFPT) of random walks is a key quantity characterizing dynamic processes on disordered media. In a random fractal embedded in the Euclidean space, the MFPT is known to obey the power law scaling with the…

统计力学 · 物理学 2023-12-07 Hyun-Myung Chun , Sungmin Hwang , Byungnam Kahng , Heiko Rieger , Jae Dong Noh

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

A vast variety of real-life networks display the ubiquitous presence of scale-free phenomenon and small-world effect, both of which play a significant role in the dynamical processes running on networks. Although various dynamical processes…

物理与社会 · 物理学 2009-07-19 Zhongzhi Zhang , Shuigeng Zhou , Wenlei Xie , Lichao Chen , Yuan Lin , Jihong Guan

It is known that the heterogeneity of scale-free networks helps enhancing the efficiency of trapping processes performed on them. In this paper, we show that transport efficiency is much lower in a fractal scale-free network than in…

统计力学 · 物理学 2009-10-18 Zhongzhi Zhang , Wenlei Xie , Shuigeng Zhou , Shuyang Gao , Jihong Guan

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

Efficiently controlling the trapping process, especially the trapping efficiency, is central in the study of trap problem in complex systems, since it is a fundamental mechanism for diverse other dynamic processes. Thus, it is of…

统计力学 · 物理学 2013-07-12 Bin Wu , Zhongzhi Zhang

We develop an analytical approach which provides the dependence of the mean first-passage time (MFPT) for random walks on complex networks both on the target connectivity and on the source-target distance. Our approach puts forward two…

统计力学 · 物理学 2015-05-27 Vincent Tejedor , Olivier Bénichou , Raphael Voituriez
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