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Detecting and characterizing small dense bipartite-like subgraphs by the bipartiteness ratio measure

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Abstract

We study the problem of finding and characterizing subgraphs with small bipartiteness ratio. We give a bicriteria approximation algorithm SwpDB such that if there exists a subset S of volume at most k and bipartiteness ratio θ, then for any 0 < ε < 1/2, it finds a set S′ of volume at most 2k1+ε and bipartiteness ratio at most 4√θ/ε. By combining a truncation operation, we give a local algorithm LocDB, which has asymptotically the same approximation guarantee as the algorithm SwpDB on both the volume and bipartiteness ratio of the output set, and runs in time O(ε2 θ-2 k 1+ε ln 3 k), independent of the size of the graph. Finally, we give a spectral characterization of the small dense bipartite-like subgraphs by using the kth largest eigenvalue of the Laplacian of the graph.

Original languageEnglish
Title of host publicationAlgorithms and Computation - 24th International Symposium, ISAAC 2013, Proceedings
Pages655-665
Number of pages11
DOIs
StatePublished - 2013
Externally publishedYes
Event24th International Symposium on Algorithms and Computation, ISAAC 2013 - Hong Kong, China
Duration: 16 Dec 201318 Dec 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8283 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Symposium on Algorithms and Computation, ISAAC 2013
Country/TerritoryChina
CityHong Kong
Period16/12/1318/12/13

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