Results 1 to 10 of about 172,035 (261)

Random matrices and random graphs* [PDF]

open access: yesESAIM: Proceedings and Surveys, 2023
We collect recent results on random matrices and random graphs. The topics covered are: fluctuations of the empirical measure of random matrices, finite-size effects of algorithms involving random matrices, characteristic polynomial of sparse matrices ...
Capitaine Mireille   +4 more
doaj   +3 more sources

On the use of random graphs in analysing resource utilization in urban systems [PDF]

open access: yesRoyal Society Open Science, 2020
Urban resource models increasingly rely on implicit network formulations. Resource consumption behaviours documented in the existing empirical studies are ultimately by-products of the network abstractions underlying these models.
Hadi Arbabi   +6 more
doaj   +2 more sources

Randomized graph cluster randomization

open access: yesJournal of Causal Inference, 2023
Abstract The global average treatment effect (GATE) is a primary quantity of interest in the study of causal inference under network interference. With a correctly specified exposure model of the interference, the Horvitz–Thompson (HT) and Hájek estimators of the GATE are unbiased and consistent, respectively, yet known to exhibit ...
Ugander Johan, Yin Hao
openaire   +3 more sources

Colouring random geometric graphs [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2005
A random geometric graph $G_n$ is obtained as follows. We take $X_1, X_2, \ldots, X_n ∈\mathbb{R}^d$ at random (i.i.d. according to some probability distribution ν on $\mathbb{R}^d$). For $i ≠j$ we join $X_i$ and $X_j$ by an edge if $║X_i - X_j ║< r(n)$.
Colin J. H. McDiarmid, Tobias Müller
doaj   +1 more source

Random geometric graphs [PDF]

open access: yesPhysical Review E, 2002
We analyse graphs in which each vertex is assigned random coordinates in a geometric space of arbitrary dimensionality and only edges between adjacent points are present. The critical connectivity is found numerically by examining the size of the largest cluster. We derive an analytical expression for the cluster coefficient which shows that the graphs
Dall, J., Christensen, Michael
openaire   +4 more sources

Improved Expansion of Random Cayley Graphs [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2004
In Random Cayley Graphs and Expanders, N. Alon and Y. Roichman proved that for every ε > 0 there is a finite c(ε) such that for any sufficiently large group G, the expected value of the second largest (in absolute value) eigenvalue of the ...
Po-Shen Loh, Leonard J. Schulman
doaj   +2 more sources

Perfect matchings in inhomogeneous random bipartite graphs in random environment

open access: yesCubo, 2022
In this note we study inhomogeneous random bipartite graphs in random environment. These graphs can be thought of as an extension of the classical Erd\H os-R\'enyi random bipartite graphs in a random environment.
Jairo Bochi   +2 more
doaj   +1 more source

Coloring Random Graphs [PDF]

open access: yesPhysical Review Letters, 2002
We study the graph coloring problem over random graphs of finite average connectivity $c$. Given a number $q$ of available colors, we find that graphs with low connectivity admit almost always a proper coloring whereas graphs with high connectivity are uncolorable.
R. MULET   +3 more
openaire   +5 more sources

Random rectangular graphs [PDF]

open access: yesPhysical Review E, 2015
A generalization of the random geometric graph (RGG) model is proposed by considering a set of points uniformly and independently distributed on a rectangle of unit area instead of on a unit square [0,1]^2. The topological properties of the random rectangular graphs (RRGs) generated by this model are then studied as a function of the rectangle sides ...
Estrada, Ernesto, Sheerin, Matthew
openaire   +4 more sources

Logconcave random graphs [PDF]

open access: yesProceedings of the fortieth annual ACM symposium on Theory of computing, 2008
We propose the following model of a random graph on $n$ vertices. Let $F$ be a distribution in $R_+^{n(n-1)/2}$ with a coordinate for every pair $ij$ with $1 \le i,j \le n$. Then $G_{F,p}$ is the distribution on graphs with $n$ vertices obtained by picking a random point $X$ from $F$ and defining a graph on $n$ vertices whose edges are pairs $ij$ for ...
Frieze, Alan   +2 more
openaire   +4 more sources

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