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European Conference on Information Retrieval

ECIR 2014: Advances in Information Retrieval pp 650–655Cite as

On the Effect of Locality in Compressing Social Networks

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8416))

Abstract

We improve the state-of-the-art method for graph compression by exploiting the locality of reference observed in social network graphs. We take advantage of certain dense parts of those graphs, which enable us to further reduce the overall space requirements. The analysis and experimental evaluation of our method confirms our observations, as our results present improvements over a wide range of social network graphs.

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References

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Author information

Authors and Affiliations

  1. University of Athens, Greece

    Panagiotis Liakos & Katia Papakonstantinopoulou

  2. Artois, CRIL/CNRS, Lens, Université Lille-Nord de France, France

    Michael Sioutis

Authors
  1. Panagiotis Liakos
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  2. Katia Papakonstantinopoulou
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  3. Michael Sioutis
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Editor information

Editors and Affiliations

  1. University of Amsterdam, Amsterdam, The Netherlands

    Maarten de Rijke  & Tom Kenter  & 

  2. Centrum Wiskunde en Informatica, Amsterdam, The Netherlands and Delft University of Technology, Delft, The Netherlands

    Arjen P. de Vries

  3. University of Illinois at Urbana-Champaign, Urbana, IL, USA

    ChengXiang Zhai

  4. University of Twente, Twente, The Netheralnds and Erasmus University Rotterdam, Rotterdam, The Netherlands

    Franciska de Jong

  5. SalesPredict, Haifa, Israel

    Kira Radinsky

  6. Microsoft Research, Cambridge, UK

    Katja Hofmann

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Liakos, P., Papakonstantinopoulou, K., Sioutis, M. (2014). On the Effect of Locality in Compressing Social Networks. In: de Rijke, M., et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham. https://doi.org/10.1007/978-3-319-06028-6_71

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  • DOI: https://doi.org/10.1007/978-3-319-06028-6_71

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06027-9

  • Online ISBN: 978-3-319-06028-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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