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Dense subgraph problems with output-density conditions

Published: 22 August 2008 Publication History

Abstract

We consider the dense subgraph problem that extracts a subgraph, with a prescribed number of vertices, having the maximum number of edges (or total edge weight, in the weighted case) in a given graph. We give approximation algorithms with improved theoretical approximation ratios assuming that the density of the optimal output subgraph is high, where density is the ratio of number of edges (or sum of edge weights) to the number of edges in the clique on the same number of vertices. Moreover, we investigate the case where the input graph is bipartite and design a randomized pseudopolynomial time approximation scheme that can become a randomized PTAS, even if the size of the optimal output graph is comparatively small. This is a significant improvement in a theoretical sense, since no constant-ratio approximation algorithm was known previously if the output graph has o(n) vertices.

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Cited By

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  • (2023)Sum-of-Squares Lower Bounds for Densest k-SubgraphProceedings of the 55th Annual ACM Symposium on Theory of Computing10.1145/3564246.3585221(84-95)Online publication date: 2-Jun-2023
  • (2011)Efficient diversity-aware searchProceedings of the 2011 ACM SIGMOD International Conference on Management of data10.1145/1989323.1989405(781-792)Online publication date: 12-Jun-2011

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    Published In

    cover image ACM Transactions on Algorithms
    ACM Transactions on Algorithms  Volume 4, Issue 4
    August 2008
    264 pages
    ISSN:1549-6325
    EISSN:1549-6333
    DOI:10.1145/1383369
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 22 August 2008
    Accepted: 01 April 2008
    Revised: 01 April 2007
    Received: 01 February 2006
    Published in TALG Volume 4, Issue 4

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    Author Tags

    1. Combinatorial optimization
    2. approximation algorithms
    3. dense subgraph
    4. randomized algorithms

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    • (2023)Sum-of-Squares Lower Bounds for Densest k-SubgraphProceedings of the 55th Annual ACM Symposium on Theory of Computing10.1145/3564246.3585221(84-95)Online publication date: 2-Jun-2023
    • (2011)Efficient diversity-aware searchProceedings of the 2011 ACM SIGMOD International Conference on Management of data10.1145/1989323.1989405(781-792)Online publication date: 12-Jun-2011

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