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It was discovered a few years ago that many networks in the real world exhibit self-similarity. A lot of researches on the structures and processes on real and artificial fractal complex networks have been done, drawing an analogy to…

Statistical Mechanics · Physics 2014-02-06 Yoshihito Hotta

We study self-avoiding walk on graphs whose automorphism group has a transitive nonunimodular subgroup. We prove that self-avoiding walk is ballistic, that the bubble diagram converges at criticality, and that the critical two-point…

Probability · Mathematics 2018-11-15 Tom Hutchcroft

There is an extensive literature concerning self-avoiding walk on infinite graphs, but the subject is relatively undeveloped on finite graphs. The purpose of this paper is to elucidate the phase transition for self-avoiding walk on the…

Probability · Mathematics 2019-09-19 Gordon Slade

We study self-avoiding walks on three-dimensional critical percolation clusters using a new exact enumeration method. It overcomes the exponential increase in computation time by exploiting the clusters' fractal nature. We enumerate walks…

Statistical Mechanics · Physics 2015-06-22 Niklas Fricke , Wolfhard Janke

The scaling properties of self-avoiding walks on a d-dimensional diluted lattice at the percolation threshold are analyzed by a field-theoretical renormalization group approach. To this end we reconsider the model of Y. Meir and A. B.…

Soft Condensed Matter · Physics 2009-11-10 C. von Ferber , V. Blavats'ka , R. Folk , Yu. Holovatch

Fractal (or transfractal) features are common in real-life networks and are known to influence the dynamic processes taking place in the network itself. Here we consider a class of scale-free deterministic networks, called $(u,v)$-flowers,…

Statistical Mechanics · Physics 2019-03-12 Junhao Peng , Elena Agliari

In this paper, we consider the random walk process on a kind of fractal (or transfractal) scale free networks, which also called as $(u,v)$ flowers, and we focus on the global first passage time (GFPT) and first return time (FRT). Here, we…

Statistical Mechanics · Physics 2016-10-27 Junhao Peng

We compare phase transition and critical phenomena of bond percolation on Euclidean lattices, nonamenable graphs, and complex networks. On a Euclidean lattice, percolation shows a phase transition between the nonpercolating phase and…

Disordered Systems and Neural Networks · Physics 2014-11-20 Takehisa Hasegawa , Tomoaki Nogawa , Koji Nemoto

A two-dimensional conformal field theory with a conserved $U(1)$ current $\vec J$, when perturbed by the operator ${\vec J}^{\,2}$, exhibits a line of fixed points along which the scaling dimensions of the operators with non-zero $U(1)$…

Condensed Matter · Physics 2009-10-22 John Cardy

We introduce a self-avoiding walk model for which end-effects are completely eliminated. We enumerate the number of these walks for various lattices in dimensions two and three, and use these enumerations to study the properties of this…

Statistical Mechanics · Physics 2015-04-09 Nathan Clisby

We introduce a fast implementation of the pivot algorithm for self-avoiding walks, which we use to obtain large samples of walks on the cubic lattice of up to $33 \times 10^6$ steps. Consequently the critical exponent $\nu$ for…

Statistical Mechanics · Physics 2010-02-03 Nathan Clisby

The connective constant mu of a graph is the exponential growth rate of the number of n-step self-avoiding walks starting at a given vertex. A self-avoiding walk is said to be forward (respectively, backward) extendable if it may be…

Combinatorics · Mathematics 2018-10-26 Geoffrey R. Grimmett , Alexander E. Holroyd , Yuval Peres

We study the problem of critical adsorption of piecewise directed random walks on a boundary of fractal lattices that belong to the Sierpinski gasket family. By applying the exact real space renormalization group method, we calculate the…

Statistical Mechanics · Physics 2009-10-31 Suncica Elezovic-Hadzic , Natasa Vasiljevic

Fractal dimension is central to understanding dynamical processes occurring on networks; however, the relation between fractal dimension and random walks on fractal scale-free networks has been rarely addressed, despite the fact that such…

Statistical Mechanics · Physics 2011-12-08 Zhongzhi Zhang , Yihang Yang , Shuyang Gao

Self-avoiding walks are studied on the 3-simplex fractal lattice as a model of linear polymer conformations in a dilute, non-homogeneous solution. A model is supplemented with bending energies and attractive-interaction energies between…

Statistical Mechanics · Physics 2023-02-21 Dušanka Marčetić

We consider self-avoiding walk on finite graphs with large girth. We study a few aspects of the model originally considered by Lawler, Schramm and Werner on finite balls in Z^d. The expected length of a random self avoiding path is…

Probability · Mathematics 2016-06-22 Ariel Yadin

We implement a scale-free version of the pivot algorithm and use it to sample pairs of three-dimensional self-avoiding walks, for the purpose of efficiently calculating an observable that corresponds to the probability that pairs of…

Statistical Mechanics · Physics 2017-06-28 Nathan Clisby

Stochasticity is introduced to a well studied class of recursively grown graphs: $(u,v)$-flower nets, which have power-law degree distributions as well as small-world properties (when $u=1$). The stochastic variant interpolates between…

Physics and Society · Physics 2021-10-22 C. Tyler Diggans , Erik M. Bollt , Daniel ben-Avraham

Various types of walks on complex networks have been used in recent years to model search and navigation in several kinds of systems, with particular emphasis on random walks. This gives valuable information on network properties, but…

Disordered Systems and Neural Networks · Physics 2019-01-24 Carlos P. Herrero

We calculate the fractal dimension $d_{\rm f}$ of critical curves in the $O(n)$ symmetric $(\vec \phi^2)^2$-theory in $d=4-\varepsilon$ dimensions at 6-loop order. This gives the fractal dimension of loop-erased random walks at $n=-2$,…

Statistical Mechanics · Physics 2020-01-10 Mikhail Kompaniets , Kay Joerg Wiese
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