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In a network cliques are fully connected subgraphs that reveal which are the tight communities present in it. Cliques of size c>3 are present in random Erdos and Renyi graphs only in the limit of diverging average connectivity. Starting…

Disordered Systems and Neural Networks · Physics 2009-11-11 Ginestra Bianconi , Matteo Marsili

In this paper we calculate the average number of cliques in random scale-free networks. We consider first the hidden variable ensemble and subsequently the Molloy Reed ensemble. In both cases we find that cliques, i.e. fully connected…

Statistical Mechanics · Physics 2009-11-11 Ginestra Bianconi , Matteo Marsili

We show that the expected number of cliques in the Erd\H{o}s-R\'enyi random graph $G(n,p)$ is $n^{\frac1{-2\log p}(\log n-2\log\log n+O(1))}$.

Combinatorics · Mathematics 2022-08-17 Taro Sakurai , Norihide Tokushige

We study the following question raised by Erd\H{o}s and Hajnal in the early 90's. Over all $n$-vertex graphs $G$ what is the smallest possible value of $m$ for which any $m$ vertices of $G$ contain both a clique and an independent set of…

Combinatorics · Mathematics 2020-08-12 N. Alon , M. Bucić , B. Sudakov

Motivated by an application in community detection, we consider an \ER random graph conditioned on the rare event that all connected components are fully connected. Such graphs can be considered as partitions of vertices into cliques.…

Probability · Mathematics 2025-03-19 Martijn Gösgens , Lukas Lüchtrath , Elena Magnanini , Marc Noy , Élie de Panafieu

Large real-world graphs tend to be sparse, but they often contain many densely connected subgraphs and exhibit high clustering coefficients. While recent random graph models can capture this sparsity, they ignore the local density, or vice…

Methodology · Statistics 2019-07-18 Sinead A. Williamson , Mauricio Tec

For a given graph $G$ of minimum degree at least $k$, let $G_p$ denote the random spanning subgraph of $G$ obtained by retaining each edge independently with probability $p=p(k)$. We prove that if $p \ge \frac{\log k + \log \log k +…

Combinatorics · Mathematics 2016-09-14 Roman Glebov , Humberto Naves , Benny Sudakov

In this paper, we study cliques and chromatic number of inhomogenous random graphs where the individual edge probabilities could be arbitrarily low. We use a recursive method to obtain estimates on the maximum clique size under a mild…

Probability · Mathematics 2017-04-18 Ghurumuruhan Ganesan

The Paley graph is a well-known self-complementary pseudo-random graph, defined over a finite field of odd order. We describe an attempt at an analogous construction using fields of even order. Some properties of the graph are noted, such…

Combinatorics · Mathematics 2015-09-18 Andrew Thomason

Infinite analogues of the Paley graphs are constructed, based on uncountably many infinite but locally finite fields. Weil's estimate for character sums shows that they are all isomorphic to the random or universal graph of Erd\H os,…

Combinatorics · Mathematics 2019-12-06 Gareth A. Jones

Paley graphs are Cayley graphs which are circulant and strongly regular. Paley-type graph of order a product of two distinct Pythagorean primes was introduced by Dr Angsuman Das. In this paper, we extend the study of Paley-type graphs to…

Combinatorics · Mathematics 2023-10-09 Sivaranjani A , Radha S

Recently, variants of many classical extremal theorems have been proved in the random environment. We, complementing existing results, extend the Erd\H{o}s-Gallai Theorem in random graphs. In particular, we determine, up to a constant…

Combinatorics · Mathematics 2020-01-15 József Balogh , Andrzej Dudek , Lina Li

If $\Gamma$ is a graph for which every edge is in exactly one clique of order $\omega$, then one can form a new graph with vertex set equal to these cliques. This is a generalization of the line graph of $\Gamma$. We discover many general…

Combinatorics · Mathematics 2026-05-25 Connor Phillips

We study the distribution of the set of copies of some given graph $H$ in the random graph $G(n,p)$, focusing on the case when $H = K_r$. Our main results capture the 'leading term' in the difference between this distribution and the…

Combinatorics · Mathematics 2025-04-02 Robert Morris , Oliver Riordan

Finding the largest clique is a notoriously hard problem, even on random graphs. It is known that the clique number of a random graph G(n,1/2) is almost surely either k or k+1, where k = 2log n - 2log(log n) - 1. However, a simple greedy…

Data Structures and Algorithms · Computer Science 2008-09-22 Atish Das Sarma , Amit Deshpande , Ravi Kannan

Let $G = \mathrm{SCl}_n(q)$ be a quasisimple classical group with $n$ large, and let $x_1, \dots, x_k \in G$ random, where $k \geq q^C$. We show that the diameter of the resulting Cayley graph is bounded by $q^2 n^{O(1)}$ with probability…

Group Theory · Mathematics 2021-11-18 Sean Eberhard , Urban Jezernik

We study the problem of counting the number of {\em isomorphic} copies of a given {\em template} graph, say $H$, in the input {\em base} graph, say $G$. In general, it is believed that polynomial time algorithms that solve this problem…

Data Structures and Algorithms · Computer Science 2015-03-03 Kashyap Dixit , Martin Fürer

The clique number of a random graph in the Erdos-Renyi model G(n,p) yields a random variable which is known to be asymptotically (as n tends to infinity) almost surely within one of an explicit logarithmic (on n) function r(n,p). We extend…

Combinatorics · Mathematics 2016-01-13 Jesús González , Bárbara Gutiérrez , Hugo Mas

We consider random graphs in which the edges are allowed to be dependent. In our model the edge dependence is quite general, we call it $p$-robust random graph. It means that every edge is present with probability at least $p$, regardless…

Discrete Mathematics · Computer Science 2020-12-04 Zohre Ranjbar-Mojaveri , Andras Farago

We study a planted clique model introduced by Feige where a complete graph of size $c\cdot n$ is planted uniformly at random in an arbitrary $n$-vertex graph. We give a simple deterministic algorithm that, in almost linear time, recovers a…

Computational Complexity · Computer Science 2025-05-13 Francesco Agrimonti , Marco Bressan , Tommaso d'Orsi