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k2-Trees for Compact Web Graph Representation

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String Processing and Information Retrieval (SPIRE 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5721))

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Abstract

This paper presents a Web graph representation based on a compact tree structure that takes advantage of large empty areas of the adjacency matrix of the graph. Our results show that our method is competitive with the best alternatives in the literature, offering a very good compression ratio (3.3–5.3 bits per link) while permitting fast navigation on the graph to obtain direct as well as reverse neighbors (2–15 microseconds per neighbor delivered). Moreover, it allows for extended functionality not usually considered in compressed graph representations.

Funded in part (for the Spanish group) by MEC grant (TIN2006-15071-C03-03); and for the third author by Fondecyt Grant 1-080019, Chile.

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Author information

Authors and Affiliations

  1. Database Lab., Univ. of A Coruña, Spain

    Nieves R. Brisaboa & Susana Ladra

  2. Dept. of Computer Science, Univ. of Chile, Chile

    Gonzalo Navarro

Authors
  1. Nieves R. Brisaboa
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  2. Susana Ladra
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  3. Gonzalo Navarro
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Editor information

Editors and Affiliations

  1. Swedish Institute of Computer Science, Kista, Sweden

    Jussi Karlgren

  2. Department of Computer Science and Engineering, Helsinki University of Technology, P.O. Box 5400, 02015 HUT, Espoo, Finland

    Jorma Tarhio

  3. Department of Computer Sciences, University of Tampere, Tampere, Finland

    Heikki Hyyrö

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Brisaboa, N.R., Ladra, S., Navarro, G. (2009). k2-Trees for Compact Web Graph Representation. In: Karlgren, J., Tarhio, J., Hyyrö, H. (eds) String Processing and Information Retrieval. SPIRE 2009. Lecture Notes in Computer Science, vol 5721. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03784-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-03784-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03783-2

  • Online ISBN: 978-3-642-03784-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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