An old approach to the giant component problem

In 1998, Molloy and Reed showed that, under suitable conditions, if a sequence of degree sequences converges to a probability distribution $D$, then the size of the largest component in corresponding $n$-vertex random graph is asymptotically $\rho(D)n$, where $\rho(D)$ is a constant defined by the s...

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Автори: Bollobas, B, Riordan, O
Формат: Journal article
Опубліковано: 2012
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author Bollobas, B
Riordan, O
author_facet Bollobas, B
Riordan, O
author_sort Bollobas, B
collection OXFORD
description In 1998, Molloy and Reed showed that, under suitable conditions, if a sequence of degree sequences converges to a probability distribution $D$, then the size of the largest component in corresponding $n$-vertex random graph is asymptotically $\rho(D)n$, where $\rho(D)$ is a constant defined by the solution to certain equations that can be interpreted as the survival probability of a branching process associated to $D$. There have been a number of papers strengthening this result in various ways; here we prove a strong form of the result (with exponential bounds on the probability of large deviations) under minimal conditions.
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spelling oxford-uuid:4dcc3a95-ccb0-4947-b5aa-0c206589f98a2022-03-26T15:57:36ZAn old approach to the giant component problemJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:4dcc3a95-ccb0-4947-b5aa-0c206589f98aSymplectic Elements at Oxford2012Bollobas, BRiordan, OIn 1998, Molloy and Reed showed that, under suitable conditions, if a sequence of degree sequences converges to a probability distribution $D$, then the size of the largest component in corresponding $n$-vertex random graph is asymptotically $\rho(D)n$, where $\rho(D)$ is a constant defined by the solution to certain equations that can be interpreted as the survival probability of a branching process associated to $D$. There have been a number of papers strengthening this result in various ways; here we prove a strong form of the result (with exponential bounds on the probability of large deviations) under minimal conditions.
spellingShingle Bollobas, B
Riordan, O
An old approach to the giant component problem
title An old approach to the giant component problem
title_full An old approach to the giant component problem
title_fullStr An old approach to the giant component problem
title_full_unstemmed An old approach to the giant component problem
title_short An old approach to the giant component problem
title_sort old approach to the giant component problem
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