Approximating the Caro-Wei Bound for Independent Sets in Graph Streams

Graham Cormode, Jacques Dark, Christian Konrad

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    7 Citations (Scopus)
    93 Downloads (Pure)

    Abstract

    The Caro-Wei bound states that every graph G = (V,E) contains an independent set of size at least β(G) :=Pv∈V 1 degG(v)+1, where degG(v) denotesthedegreeofvertex v.Halld´orssonetal.[1]gavearandomizedone-pass streaming algorithm that computes an independent set of expected size β(G) using O(nlogn) space. In this paper, we give streaming algorithms and a lower bound for approximating the Caro-Wei bound itself. In the edge arrival model, we present a one-pass c-approximation streaming algorithm that uses O(dlog(n)/c2) space, where d is the average degree of G. We further prove that space Ω(d/c2) is necessary, rendering our algorithm almost optimal. This lower bound holds even in the vertex arrival model, where vertices arrive one by one together with their incident edges that connect to vertices that have previously arrived. In order to obtain a poly-logarithmic space algorithmevenforgraphswitharbitrarilylargeaveragedegree,weemployanalternative notion of approximation: We give a one-pass streaming algorithm with space O(log3 n) in the vertex arrival model that outputs a value that is at most a logarithmic factor below the true value of β and no more than the maximum independent set size.
    Original languageEnglish
    Title of host publicationCombinatorial Optimization
    Subtitle of host publication5th International Symposium, ISCO 2018, Marrakesh, Morocco, April 11-13, 2018, Revised Selected Papers
    PublisherSpringer, Cham
    Pages101-114
    Number of pages14
    ISBN (Electronic)9783319961514
    ISBN (Print)9783319961507
    DOIs
    Publication statusPublished - 18 Jul 2018

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Nature
    Volume10856
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

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