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We consider a model of large regulatory gene expression networks where the thresholds activating the sigmoidal interactions between genes and the signs of these interactions are shuffled randomly. Such an approach allows for a qualitative…

分子网络 · 定量生物学 2007-05-23 D. Volchenkov , R. Lima

We investigate the asymptotic structure of a random perfect graph $P_n$ sampled uniformly from the perfect graphs on vertex set $\{1,\ldots,n\}$. Our approach is based on the result of Pr\"omel and Steger that almost all perfect graphs are…

组合数学 · 数学 2017-09-07 Colin McDiarmid , Nikola Yolov

Recently, it has been claimed that some complex networks are self-similar under a convenient renormalization procedure. We present a general method to study renormalization flows in graphs. We find that the behavior of some variables under…

物理与社会 · 物理学 2009-11-13 Filippo Radicchi , José Javier Ramasco , Alain Barrat , Santo Fortunato

Gradient networks can be used to model the dominant structure of complex networks. Previous works have focused on random gradient networks. Here we study gradient networks that minimize jamming on substrate networks with scale-free and…

统计力学 · 物理学 2009-11-13 Natali Gulbahce

Maximum entropy null models of networks come in different flavors that depend on the type of constraints under which entropy is maximized. If the constraints are on degree sequences or distributions, we are dealing with configuration…

物理与社会 · 物理学 2020-10-30 Ivan Voitalov , Pim van der Hoorn , Maksim Kitsak , Fragkiskos Papadopoulos , Dmitri Krioukov

Many real-world applications give rise to large heterogeneous networks where nodes and edges can be of any arbitrary type (e.g., user, web page, location). Special cases of such heterogeneous graphs include homogeneous graphs, bipartite,…

社会与信息网络 · 计算机科学 2019-05-14 Ryan A. Rossi , Nesreen K. Ahmed , Aldo Carranza , David Arbour , Anup Rao , Sungchul Kim , Eunyee Koh

This work concerns sampling of smooth signals on arbitrary graphs. We first study a structured sampling strategy for such smooth graph signals that consists of a random selection of few pre-defined groups of nodes. The number of groups to…

社会与信息网络 · 计算机科学 2017-05-08 Gilles Puy , Patrick Pérez

While renormalization groups are fundamental in physics, renormalization of complex networks remains vague in its conceptual definition and methodology. Here, we propose a novel strategy to renormalize complex networks. Rather than…

统计力学 · 物理学 2024-03-13 Sungwon Jung , Sang Hoon Lee , Jaeyoon Cho

Let $H$ be a fixed graph and $\mathcal{G}$ a subcritical graph class. In this paper we show that the number of occurrences of $H$ (as a subgraph) in a uniformly at random graph of size $n$ in $\mathcal{G}$ follows a normal limiting…

组合数学 · 数学 2018-08-06 Michael Drmota , Lander Ramos , Juanjo Rué

A constructive characterization of the class of uniformly $4$-connected graphs is presented. The characterization is based on the application of graph operations to appropriate vertex and edge sets in uniformly $4$-connected graphs, that…

组合数学 · 数学 2025-07-11 Xiang Chen , Shuai Kou , Chengfu Qin , Liqiong Xu , Weihua Yang

A group $G$ of permutations of a set $\Omega$ is {\em primitive} if it acts transitively on $\Omega$, and the only $G$-invariant equivalence relations on $\Omega$ are the trivial and universal relations. A graph $\Gamma$ is {\em primitive}…

组合数学 · 数学 2013-02-19 Simon Smith

The quasi-steady state approximation and time-scale separation are commonly applied methods to simplify models of biochemical reaction networks based on ordinary differential equations (ODEs). The concentrations of the "fast" species are…

动力系统 · 数学 2016-05-10 Meritxell Sáez , Carsten Wiuf , Elisenda Feliu

Random graphs are an important tool for modelling and analyzing the underlying properties of complex real-world networks. In this paper, we study a class of random graphs known as the inhomogeneous random K-out graphs which were recently…

信息论 · 计算机科学 2022-10-06 Mansi Sood , Osman Yağan

Let $G$ be a non-abelian group. The non-commuting graph $\mathcal{A}_G$ of $G$ is defined as the graph whose vertex set is the non-central elements of $G$ and two vertices are joint if and only if they do not commute. In a finite simple…

群论 · 数学 2009-03-05 A. Abdollahi , A. Azad , A. Mohammadi Hassanabadi , M. Zarrin

We provide a simple proof that graphs in a general class of self-similar networks have zero percolation threshold. The considered self-similar networks include random scale-free graphs with given expected node degrees and zero clustering,…

无序系统与神经网络 · 物理学 2011-01-28 M. Angeles Serrano , Dmitri Krioukov , Marian Boguna

A network can be analyzed at different topological scales, ranging from single nodes to motifs, communities, up to the complete structure. We propose a novel intermediate-level topological analysis that considers non-overlapping subgraphs…

计算物理 · 物理学 2009-11-13 Lucas Antiqueira , Luciano da Fontoura Costa

A non-complete \drg $\Gamma$ is called geometric if there exists a set $\mathcal{C}$ of Delsarte cliques such that each edge of $\Gamma$ lies in a unique clique in $\mathcal{C}$. In this paper, we determine the non-complete distance-regular…

组合数学 · 数学 2011-01-04 Sejeong Bang

We investigate group-theoretic "signatures" of odd cycles of a graph, and their connections to topological obstructions to 3-colourability. In the case of signatures derived from free groups, we prove that the existence of an odd cycle with…

组合数学 · 数学 2016-02-25 Gord Simons , Claude Tardif , David Wehlau

In 1972, R. Carter introduced admissible diagrams to classify conjugacy classes in a finite Weyl group W. We say that an admissible diagram \Gamma is a Carter diagram if any edge {\alpha, \beta} with inner product (\alpha, \beta) > 0 (resp.…

表示论 · 数学 2015-03-17 Rafael Stekolshchik

The Gruenberg-Kegel graph (or the prime graph) $\Gamma(G)$ of a finite group $G$ is the graph whose vertex set is the set of prime divisors of $|G|$ and in which two distinct vertices $r$ and $s$ are adjacent if and only if there exists an…

群论 · 数学 2025-04-22 Mingzhu Chen , Natalia V. Maslova , Marianna R. Zinov'eva