Global mean first-passage times of random walks on complex networks
V Tejedor, O Bénichou, R Voituriez - … Review E—Statistical, Nonlinear, and Soft …, 2009 - APS
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 …
networks, which provides a rigorous lower bound for the mean first-passage time of a …
Determination of multifractal dimensions of complex networks by means of the sandbox algorithm
JL Liu, ZG Yu, V Anh - Chaos: An Interdisciplinary Journal of Nonlinear …, 2015 - pubs.aip.org
Complex networks have attracted much attention in diverse areas of science and
technology. Multifractal analysis (MFA) is a useful way to systematically describe the spatial …
technology. Multifractal analysis (MFA) is a useful way to systematically describe the spatial …
Mean first-passage time for random walks on undirected networks
In this paper, by using two different techniques we derive an explicit formula for the mean
first-passage time (MFPT) between any pair of nodes on a general undirected network …
first-passage time (MFPT) between any pair of nodes on a general undirected network …
Determining global mean-first-passage time of random walks on Vicsek fractals using eigenvalues of Laplacian matrices
The family of Vicsek fractals is one of the most important and frequently studied regular
fractal classes, and it is of considerable interest to understand the dynamical processes on …
fractal classes, and it is of considerable interest to understand the dynamical processes on …
Spanning trees in a fractal scale-free lattice
Spanning trees provide crucial insight into the origin of fractality in fractal scale-free
networks. In this paper, we present the number of spanning trees in a particular fractal scale …
networks. In this paper, we present the number of spanning trees in a particular fractal scale …
Weighted fractal networks
T Carletti, S Righi - Physica A: Statistical Mechanics and its Applications, 2010 - Elsevier
In this paper we define a new class of weighted complex networks sharing several
properties with fractal sets, and whose topology can be completely analytically characterized …
properties with fractal sets, and whose topology can be completely analytically characterized …
Fractal and multifractal properties of a family of fractal networks
BG Li, ZG Yu, Y Zhou - Journal of statistical mechanics: Theory …, 2014 - iopscience.iop.org
In this work, we study the fractal and multifractal properties of a family of fractal networks
introduced by Gallos et al (2007 Proc. Nat. Acad. Sci. USA 104 7746). In this fractal network …
introduced by Gallos et al (2007 Proc. Nat. Acad. Sci. USA 104 7746). In this fractal network …
Impact of distance between two hubs on the network coherence of tree networks
D Li, W Sun, H Hu - Frontiers of Information Technology & Electronic …, 2023 - Springer
We study the impact of the distance between two hubs on network coherence defined by
Laplacian eigenvalues. Network coherence is a measure of the extent of consensus in a …
Laplacian eigenvalues. Network coherence is a measure of the extent of consensus in a …
Scaling of average weighted receiving time on double-weighted Koch networks
M Dai, D Ye, J Hou, X Li - Fractals, 2015 - World Scientific
In this paper, we introduce a model of the double-weighted Koch networks based on actual
road networks depending on the two weight factors w, r∈(0, 1]. The double weights …
road networks depending on the two weight factors w, r∈(0, 1]. The double weights …
Trapping in dendrimers and regular hyperbranched polymers
Dendrimers and regular hyperbranched polymers are two classic families of
macromolecules, which can be modeled by Cayley trees and Vicsek fractals, respectively. In …
macromolecules, which can be modeled by Cayley trees and Vicsek fractals, respectively. In …