scholarly journals Finding Induced Subgraphs in Scale-Free Inhomogeneous Random Graphs

Author(s):  
Ellen Cardinaels ◽  
Johan S. H. van Leeuwaarden ◽  
Clara Stegehuis
2019 ◽  
Vol 175 (1) ◽  
pp. 161-184
Author(s):  
A. J. E. M. Janssen ◽  
Johan S. H. van Leeuwaarden ◽  
Seva Shneer

10.37236/784 ◽  
2008 ◽  
Vol 15 (1) ◽  
Author(s):  
Joanna Polcyn

Quasi-random graphs have the property that the densities of almost all pairs of large subsets of vertices are similar, and therefore we cannot expect too large empty or complete bipartite induced subgraphs in these graphs. In this paper we answer the question what is the largest possible size of such subgraphs. As an application, a degree condition that guarantees the connection by short paths in quasi-random pairs is stated.


2004 ◽  
Vol 1 (1) ◽  
pp. 1-35 ◽  
Author(s):  
Béla Bollobás ◽  
Oliver Riordan
Keyword(s):  

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Nicole Balashov ◽  
Reuven Cohen ◽  
Avieli Haber ◽  
Michael Krivelevich ◽  
Simi Haber

Abstract We consider optimal attacks or immunization schemes on different models of random graphs. We derive bounds for the minimum number of nodes needed to be removed from a network such that all remaining components are fragments of negligible size.We obtain bounds for different regimes of random regular graphs, Erdős-Rényi random graphs, and scale free networks, some of which are tight. We show that the performance of attacks by degree is bounded away from optimality.Finally we present a polynomial time attack algorithm and prove its optimal performance in certain cases.


2020 ◽  
Vol 10 (4) ◽  
pp. 310-334
Author(s):  
Gianmarco Bet ◽  
Remco van der Hofstad ◽  
Johan S. H. van Leeuwaarden

We consider a queue to which only a finite pool of n customers can arrive, at times depending on their service requirement. A customer with stochastic service requirement S arrives to the queue after an exponentially distributed time with mean S-α for some [Formula: see text]; therefore, larger service requirements trigger customers to join earlier. This finite-pool queue interpolates between two previously studied cases: α = 0 gives the so-called [Formula: see text] queue and α = 1 is closely related to the exploration process for inhomogeneous random graphs. We consider the asymptotic regime in which the pool size n grows to infinity and establish that the scaled queue-length process converges to a diffusion process with a negative quadratic drift. We leverage this asymptotic result to characterize the head start that is needed to create a long period of activity. We also describe how this first busy period of the queue gives rise to a critically connected random forest.


2018 ◽  
Vol 54 (3) ◽  
pp. 444-498 ◽  
Author(s):  
Francesco Caravenna ◽  
Alessandro Garavaglia ◽  
Remco van der Hofstad
Keyword(s):  

2019 ◽  
Vol 52 (29) ◽  
pp. 295101 ◽  
Author(s):  
Clara Stegehuis ◽  
Remco van der Hofstad ◽  
Johan S H van Leeuwaarden

1999 ◽  
Vol 8 (1-2) ◽  
pp. 131-159 ◽  
Author(s):  
MICHAŁ KAROŃSKI ◽  
EDWARD R. SCHEINERMAN ◽  
KAREN B. SINGER-COHEN

A new model of random graphs – random intersection graphs – is introduced. In this model, vertices are assigned random subsets of a given set. Two vertices are adjacent provided their assigned sets intersect. We explore the evolution of random intersection graphs by studying thresholds for the appearance and disappearance of small induced subgraphs. An application to gate matrix circuit design is presented.


Sign in / Sign up

Export Citation Format

Share Document