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As a classic self-similar network model, Sierpinski gasket network has been used many times to study the characteristics of self-similar structure and its influence on the dynamic properties of the network. However, the network models…

Statistical Mechanics · Physics 2022-03-23 Zhizhuo Zhang , Bo Wu

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…

Statistical Mechanics · Physics 2013-07-04 Yuan Lin , Zhongzhi Zhang

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…

Statistical Mechanics · Physics 2012-09-28 Yuan Lin , Alafate Julaiti , 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…

Statistical Mechanics · Physics 2010-01-30 Zhongzhi Zhang , Yi Qi , Shuigeng Zhou , Shuyang Gao , Jihong Guan

The random walk is one of the most basic dynamic properties of complex networks, which has gradually become a research hotspot in recent years due to its many applications in actual networks. An important characteristic of the random walk…

Physics and Society · Physics 2022-11-21 Zhizhuo Zhang , Bo Wu , Zuguo Yu

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…

Statistical Mechanics · Physics 2013-01-17 Zhongzhi Zhang , Tong Shan , 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…

Statistical Mechanics · Physics 2009-10-27 Zhongzhi Zhang , Yuan Lin , Shuigeng Zhou , Bin Wu , Jihong Guan

Explicit determination of the mean first-passage time (MFPT) for trapping problem on complex media is a theoretical challenge. In this paper, we study random walks on the Apollonian network with a trap fixed at a given hub node (i.e. node…

Statistical Mechanics · Physics 2009-04-22 Zhongzhi Zhang , Jihong Guan , Wenlei Xie , Yi Qi , Shuigeng Zhou

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…

Statistical Mechanics · Physics 2013-01-29 Hon Wai Lau , Kwok Yip Szeto

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,…

Statistical Mechanics · Physics 2015-05-14 V. Tejedor , O. Bénichou , R. Voituriez

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…

Statistical Mechanics · Physics 2012-01-05 Zhongzhi Zhang , Yihang Yang , Yuan Lin

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,…

Statistical Mechanics · Physics 2009-03-05 Zhongzhi Zhang , Yi Qi , Shuigeng Zhou , Wenlei Xie , Jihong Guan

Narrow escape and narrow capture problems which describe the average times required to stop the motion of a randomly travelling particle within a domain have applications in various areas of science. While for general domains, it is known…

Statistical Mechanics · Physics 2022-01-14 Jason Gilbert , Alexei Cheviakov

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…

Statistical Mechanics · Physics 2014-06-17 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…

Statistical Mechanics · Physics 2007-05-23 Jae Dong Noh , Heiko Rieger

The regular hyperbranched polymers (RHPs), also known as Vicsek fractals, are an important family of hyperbranched structures which have attracted a wide spread attention during the past several years. In this paper, we study the…

Statistical Mechanics · Physics 2016-10-26 Junhao Peng

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…

Statistical Mechanics · Physics 2009-10-18 Zhongzhi Zhang , Wenlei Xie , Shuigeng Zhou , Shuyang Gao , Jihong Guan

We use maximal entropy random walk (MERW) to study the trapping problem in dendrimers modeled by Cayley trees with a deep trap fixed at the central node. We derive an explicit expression for the mean first passage time from any node to the…

Statistical Mechanics · Physics 2014-06-19 Xin Peng , Zhongzhi Zhang

The multifractal behavior of the normalized first passage time is investigated on the two dimensional Sierpinski gasket with both absorbing and reflecting barriers. The normalized first passage time for Sinai model and the logistic model to…

Statistical Mechanics · Physics 2009-10-31 Kyungsik Kim , J. S. Choi , Y. S. Kong

Transport is an important function of networks. Studying transport efficiency sheds light on the dynamic processes occurring within various underlying structures and offers a wide range of applications. To construct networks with different…

Chaotic Dynamics · Physics 2025-03-27 Zhenhua Yuan , Junhao Peng , Long Gao
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