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European Symposium on Algorithms

ESA 2014: Algorithms - ESA 2014 pp 321–333Cite as

Robust Distance Queries on Massive Networks

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8737))

Abstract

We present a versatile and scalable algorithm for computing exact distances on real-world networks with tens of millions of arcs in real time. Unlike existing approaches, preprocessing and queries are practical on a wide variety of inputs, such as social, communication, sensor, and road networks. We achieve this by providing a unified approach based on the concept of 2-hop labels, improving upon existing methods. In particular, we introduce a fast sampling-based algorithm to order vertices by importance, as well as effective compression techniques.

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Author information

Authors and Affiliations

  1. Microsoft Research, USA

    Daniel Delling, Andrew V. Goldberg, Thomas Pajor & Renato F. Werneck

Authors
  1. Daniel Delling
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  2. Andrew V. Goldberg
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  3. Thomas Pajor
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  4. Renato F. Werneck
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Editor information

Editors and Affiliations

  1. Massachusetts Institute of Technology, Cambridge, MA, USA

    Andreas S. Schulz

  2. Karlsruhe Institute of Technology (KIT), Kaiserstruhe 12, 76131, Karlsruhe, Germany

    Dorothea Wagner

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Delling, D., Goldberg, A.V., Pajor, T., Werneck, R.F. (2014). Robust Distance Queries on Massive Networks. In: Schulz, A.S., Wagner, D. (eds) Algorithms - ESA 2014. ESA 2014. Lecture Notes in Computer Science, vol 8737. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44777-2_27

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  • DOI: https://doi.org/10.1007/978-3-662-44777-2_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44776-5

  • Online ISBN: 978-3-662-44777-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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