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In this work we propose a novel method to calculate mean first-passage times (MFPTs) for random walks on graphs, based on a dimensionality reduction technique for Markov State Models, known as local-equilibrium (LE). We show that for a…

统计力学 · 物理学 2022-03-09 Yanik-Pascal Förster , Luca Gamberi , Evan Tzanis , Pierpaolo Vivo , Alessia Annibale

Random walks constitute a fundamental mechanism for many dynamics taking place on complex networks. Besides, as a more realistic description of our society, multiplex networks have been receiving a growing interest, as well as the dynamical…

物理与社会 · 物理学 2016-05-25 Quantong Guo , Emanuele Cozzo , Zhiming Zheng , Yamir Moreno

Numerous problems of both theoretical and practical interest are related to finding shortest (or otherwise optimal) paths in networks, frequently in the presence of some obstacles or constraints. A somewhat related class of problems focuses…

统计力学 · 物理学 2021-03-01 Ricardo Gutiérrez , Carlos Pérez-Espigares

The Random Walk Pinning Model (RWPM) is a statistical mechanics model in which the trajectory of a continuous time random walk $X=(X_t)_{t\geq 0}$ is rewarded according to the time it spends together with a moving catalyst. More…

概率论 · 数学 2025-09-11 Quentin Berger , Hubert Lacoin

We derive a general formula for computing the expected first return time of a random walk on a finite graph. Using this framework, we calculate the expected first return time in various settings over bounded rectangular grids with different…

概率论 · 数学 2025-05-06 Nan An

We introduce a formalism based on a continuous time approximation, to study the characteristics of Page Rank random walks. We find that the diffusion of the occupancy probability has a dynamics that exponentially "forgets" the initial…

统计力学 · 物理学 2020-07-17 Emilio Aced Fuentes , Simone Santini

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…

物理与社会 · 物理学 2022-11-21 Zhizhuo Zhang , Bo Wu , Zuguo Yu

Random walk-based sampling methods are gaining popularity and importance in characterizing large networks. While powerful, they suffer from the slow mixing problem when the graph is loosely connected, which results in poor estimation…

社会与信息网络 · 计算机科学 2017-08-31 Junzhou Zhao , Pinghui Wang , John C. S. Lui , Don Towsley , Xiaohong Guan

We establish and generalise several bounds for various random walk quantities including the mixing time and the maximum hitting time. Unlike previous analyses, our derivations are based on rather intuitive notions of local expansion…

概率论 · 数学 2019-03-05 Thomas Sauerwald , Luca Zanetti

We study numerically the mean access times for random walks on hybrid disordered structures formed by embedding scale-free networks into regular lattices, considering different transition rates for steps across lattice bonds ($F$) and…

无序系统与神经网络 · 物理学 2009-11-11 Julián Candia , Paul E. Parris , V. M. Kenkre

The problem of finding a resource residing in a network node (the \emph{resource location problem}) is a challenge in complex networks due to aspects as network size, unknown network topology, and network dynamics. The problem is especially…

网络与互联网体系结构 · 计算机科学 2016-03-15 Víctor M. López Millán , Vicent Cholvi , Antonio Fernández Anta , Luis López

The uncoupled Continuous Time Random Walk (CTRW) in one space-dimension and under power law regime is splitted into three distinct random walks: (rw_1), a random walk along the line of natural time, happening in operational time; (rw_2), a…

概率论 · 数学 2011-04-21 Rudolf Gorenflo , Francesco Mainardi

Researchers have designed many algorithms to measure the distances between graph nodes, such as average hitting times of random walks, cosine distances from DeepWalk, personalized PageRank, etc. Successful although these algorithms are,…

离散数学 · 计算机科学 2020-12-02 Enzhi Li , Zhengyi Le

A self-repelling random walk of a token on a graph is one in which at each step, the token moves to a neighbor that has been visited least often (with ties broken randomly). The properties of self-repelling random walks have been analyzed…

网络与互联网体系结构 · 计算机科学 2017-08-24 Vinod Kulathumani , Masahiro Nakagawa , Anish Arora

In this paper we consider the one-dimensional quantum random walk X^{varphi} _n at time n starting from initial qubit state varphi determined by 2 times 2 unitary matrix U. We give a combinatorial expression for the characteristic function…

量子物理 · 物理学 2007-05-23 Norio Konno

We study the mean time for a random walk to traverse between two arbitrary sites of the Erdos-Renyi random graph. We develop an effective medium approximation that predicts that the mean first-passage time between pairs of nodes, as well as…

统计力学 · 物理学 2009-11-10 V. Sood , S. Redner , D. ben-Avraham

We consider a one-dimensional continuous time random walk (CTRW) on a fixed time interval $T$ where at each time step the walker waits a random time $\tau$, before performing a jump drawn from a symmetric continuous probability distribution…

统计力学 · 物理学 2016-04-15 Philippe Mounaix , Gregory Schehr , Satya N. Majumdar

We consider random walks on discrete state spaces, such as general undirected graphs, where the random walkers are designed to approximate a target quantity over the network topology via sampling and neighborhood exploration in the form of…

概率论 · 数学 2024-01-30 Vishwaraj Doshi , Jie Hu , Do Young Eun

Recently, round-trip time (RTT) measured by a fine-timing measurement protocol has received great attention in the area of WiFi positioning. It provides an acceptable ranging accuracy in favorable environments when a line-of-sight (LOS)…

网络与互联网体系结构 · 计算机科学 2021-04-02 Kyuwon Han , Seung Min Yu , Seong-Lyun Kim , Seung-Woo Ko

We consider a run-and-tumble particle (RTP) in one dimension, subjected to a telegraphic noise with a constant rate $\gamma$, and in the presence of an external confining potential $V(x) = \alpha |x|^p$ with $p \geq 1$. We compute the mean…

统计力学 · 物理学 2024-03-25 Mathis Guéneau , Satya N. Majumdar , Gregory Schehr