Sampling an Edge in Sublinear Time Exactly and Optimally

Talya Eden, Shyam Narayanan, Jakub Tětek

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Sampling edges from a graph in sublinear time is a fundamental problem and a powerful subroutine for designing sublinear-time algorithms. Suppose we have access to the vertices of the graph and know a constant-factor approximation to the number of edges. An algorithm for pointwise ε-approximate edge sampling with complexity O(n/√εm) has been given by Eden and Rosenbaum [SOSA 2018]. This has been later improved by Tětek and Thorup [STOC 2022] to O(nlog(ε−1)/√m). At the same time, Ω(n/√m) time is necessary. We close the problem, by giving an algorithm with complexity O(n/√m) for the task of sampling an edge exactly uniformly.

Original languageEnglish
Title of host publicationProceedings - 2023 SIAM Symposium on Simplicity in Algorithms, SOSA 2023
EditorsTelikepalli Kavitha, Kurt Mehlhorn
PublisherSociety for Industrial and Applied Mathematics Publications
Pages253-260
Number of pages8
ISBN (Electronic)9781611977585
StatePublished - 2023
Event2023 SIAM Symposium on Simplicity in Algorithms, SOSA 2023 - Florence, Italy
Duration: 23 Jan 202325 Jan 2023

Publication series

NameProceedings - 2023 SIAM Symposium on Simplicity in Algorithms, SOSA 2023

Conference

Conference2023 SIAM Symposium on Simplicity in Algorithms, SOSA 2023
Country/TerritoryItaly
CityFlorence
Period23/01/2325/01/23

Bibliographical note

Publisher Copyright:
Copyright © 2023 by SIAM.

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