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The connective constant $\mu(G)$ of a quasi-transitive graph $G$ is the exponential growth rate of the number of self-avoiding walks from a given origin. We prove a locality theorem for connective constants, namely, that the connective…

Combinatorics · Mathematics 2018-08-21 Geoffrey R. Grimmett , Zhongyang Li

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…

Statistical Mechanics · Physics 2009-10-31 Sagar A. Pandit , R. E. Amritkar

The self-avoiding random walk (SARW) is a stochastic process whose state variable avoids returning to previously visited states. This non-Markovian feature has turned SARWs a powerful tool for modelling a plethora of relevant aspects in…

Statistical Mechanics · Physics 2023-10-25 Gaia Colombani , Giulia Bertagnolli , Oriol Artime

Small-world networks are the focus of recent interest because they appear to circumvent many of the limitations of either random networks or regular lattices as frameworks for the study of interaction networks of complex systems. Here, we…

Statistical Mechanics · Physics 2012-03-08 Luis A. Nunes Amaral , Antonio Scala , Marc Barthelemy , H. Eugene Stanley

A self-avoiding walk with small attractive interactions is described here. The existence of the connective constant is established, and the diffusive behavior is proved using the method of the lace expansion.

Probability · Mathematics 2007-05-23 Daniel Ueltschi

We explore a new variant of Small-World Networks (SWNs), in which an additional parameter ($r$) sets the length scale over which shortcuts are uniformly distributed. When $r=0$ we have an ordered network, whereas $r=1$ corresponds to the…

Physics and Society · Physics 2011-03-02 Tao Jia , Rahul V. Kulkarni

We develop an approach for performing scaling analysis of $N$-step Random Walks (RWs). The mean square end-to-end distance, $\langle\vec{R}_{N}^{2}\rangle$, is written in terms of inner persistence lengths (IPLs), which we define by the…

Statistical Mechanics · Physics 2016-05-18 C. R. F. Granzotti , A. S. Martinez , M. A. A. da Silva

Different kinds of random walks have proven to be useful in the study of structural properties of complex networks. Among them, the restricted dynamics of self-avoiding random walks (SAW), which visit only at most once each vertex in the…

Physics and Society · Physics 2018-01-23 Guilherme de Guzzi Bagnato , José Ricardo Furlan Ronqui , Gonzalo Travieso

The connective constant $\mu(G)$ of a graph $G$ is the asymptotic growth rate of the number $\sigma_{n}$ of self-avoiding walks of length $n$ in $G$ from a given vertex. We prove a formula for the connective constant for free products of…

Combinatorics · Mathematics 2015-09-11 Lorenz A. Gilch , Sebastian Müller

We present a real space renormalization-group map for probabilities of random walks on a hierarchical lattice. From this, we study the asymptotic behavior of the end-to-end distance of a weakly self- avoiding random walk (SARW) that…

High Energy Physics - Theory · Physics 2016-08-15 Suemi Rodríguez-Romo

The connective constant $\mu(G)$ of an infinite transitive graph $G$ is the exponential growth rate of the number of self-avoiding walks from a given origin. The relationship between connective constants and amenability is explored in the…

Group Theory · Mathematics 2015-11-25 Geoffrey R. Grimmett , Zhongyang Li

Let D be a domain in the plane containing the origin. We are interested in the ensemble of self-avoiding walks (SAW's) in D which start at the origin and end on the boundary of the domain. We introduce an ensemble of SAW's that we expect to…

Probability · Mathematics 2015-05-30 Tom Kennedy

The nearest neighbor contacts between the two halves of an N-site lattice self-avoiding walk offer an unusual example of scaling random geometry: for N going to infinity they are strictly finite in number but their radius of gyration Rc is…

Statistical Mechanics · Physics 2007-05-23 Marco Baiesi , Enzo Orlandini , Attilio L. Stella

We study the simple random walk dynamics on an annealed version of a Small-World Network (SWN) consisting of $N$ nodes. This is done by calculating the mean number of distinct sites visited S(n) and the return probability $P_{00}(t)$ as a…

Statistical Mechanics · Physics 2009-11-07 Jani Lahtinen , János Kertész , Kimmo Kaski

A class of cubic networks composed of a regular one-dimensional lattice and a set of long-range links is introduced. Networks parametrized by a positive integer k are constructed by starting from a one-dimensional lattice and iteratively…

Disordered Systems and Neural Networks · Physics 2009-11-13 Róbert Juhász

We give an elementary new method for obtaining rigorous lower bounds on the connective constant for self-avoiding walks on the hypercubic lattice $Z^d$. The method is based on loop erasure and restoration, and does not require exact…

High Energy Physics - Lattice · Physics 2009-10-22 Takashi Hara , Gordon Slade , Alan D. Sokal

A signed network represents how a set of nodes are connected by two logically contradictory types of links: positive and negative links. In a signed products network, two products can be complementary (purchased together) or substitutable…

Physics and Society · Physics 2018-08-23 Huijuan Wang , Cunquan Qu , Chongze Jiao , Wioletta Ruszel

We have analysed the recently extended series for the number of self-avoiding walks (SAWs) $C_L(1)$ that cross an $L \times L$ square between diagonally opposed corners. The number of such walks is known to grow as $\lambda_S^{L^2}.$ We…

Mathematical Physics · Physics 2022-12-23 Anthony J Guttmann , Iwan Jensen

In this study we have carried out computer simulations of random walks on Watts-Strogatz-type small world networks and measured the mean number of visited sites and the return probabilities. These quantities were found to obey scaling…

Statistical Mechanics · Physics 2009-11-07 Jani Lahtinen , János Kertész , Kimmo Kaski

Navigation process is studied on a variant of the Watts-Strogatz small world network model embedded on a square lattice. With probability $p$, each vertex sends out a long range link, and the probability of the other end of this link…

Disordered Systems and Neural Networks · Physics 2009-11-11 Jian-Zhen Chen , Wei Liu , Jian-Yang Zhu