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We study diffusion with a bias towards a target node in networks. This problem is relevant to efficient routing strategies in emerging communication networks like optical networks. Bias is represented by a probability $p$ of the…

物理与社会 · 物理学 2013-08-05 Loukas Skarpalezos , Aristotelis Kittas , Panos Argyrakis , Reuven Cohen , Shlomo Havlin

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 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

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…

统计力学 · 物理学 2009-04-22 Zhongzhi Zhang , Jihong Guan , Wenlei Xie , Yi Qi , Shuigeng Zhou

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

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 co-evolution between network structure and functional performance is a fundamental and challenging problem whose complexity emerges from the intrinsic interdependent nature of structure and function. Within this context, we investigate…

神经与进化计算 · 计算机科学 2016-05-10 Daniel R. Figueiredo , Michele Garetto

We study the biased random walk process in random uncorrelated networks with arbitrary degree distributions. In our model, the bias is defined by the preferential transition probability, which, in recent years, has been commonly used to…

无序系统与神经网络 · 物理学 2013-05-29 Agata Fronczak , Piotr Fronczak

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

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

Performing random walks in networks is a fundamental primitive that has found numerous applications in communication networks such as token management, load balancing, network topology discovery and construction, search, and peer-to-peer…

分布式、并行与集群计算 · 计算机科学 2012-01-12 Atish Das Sarma , Anisur Rahaman Molla , Gopal Pandurangan

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 discrete random walks on the NFSFT and provide new methods to calculate the analytic solutions of the MFPT for any pair of nodes, the MTT for any target node and MDT for any source node. Further more, using the MTT and the MDT as…

统计力学 · 物理学 2015-09-18 Junhao Peng , Guoai Xu

We study a model for a random walk of two classes of particles (A and B). Where both species are present in the same site, the motion of A's takes precedence over that of B's. The model was originally proposed and analyzed in Maragakis et…

无序系统与神经网络 · 物理学 2015-01-28 Nikolaos Bastas , Michalis Maragakis , Panos Argyrakis , Daniel ben-Avraham , Shlomo Havlin , Shai Carmi

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 study unbiased discrete random walks on the FSFT based on the its self-similar structure and the relations between random walks and electrical networks. First, we provide new methods to derive analytic solutions of the MFPT for any pair…

统计力学 · 物理学 2015-09-18 Junhao Peng , Guoai Xu

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

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

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

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
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