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Links in Hierarchical Information Networks

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Algorithms and Models for the Web-Graph (WAW 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3243))

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Abstract

We provide evidence that the inherent hierarchical structure of the web is closely related to the link structure. Moreover, we show that this relationship explains several important features of the web, including the locality and bidirectionality of hyperlinks, and the compressibility of the web graph. We describe how to construct data models of the web that capture both the hierarchical nature of the web as well as some crucial features of the link graph.

An extended version is available at http://www.mccurley.org/papers/entropy.pdf

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Author information

Authors and Affiliations

  1. IBM Almaden Research Center, USA

    Nadav Eiron & Kevin S. McCurley

Authors
  1. Nadav Eiron
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  2. Kevin S. McCurley
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Editor information

Editors and Affiliations

  1. University of Rome “La Sapienza”, Rome, Italy

    Stefano Leonardi

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© 2004 Springer-Verlag Berlin Heidelberg

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Eiron, N., McCurley, K.S. (2004). Links in Hierarchical Information Networks. In: Leonardi, S. (eds) Algorithms and Models for the Web-Graph. WAW 2004. Lecture Notes in Computer Science, vol 3243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30216-2_12

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  • DOI: https://doi.org/10.1007/978-3-540-30216-2_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23427-2

  • Online ISBN: 978-3-540-30216-2

  • eBook Packages: Springer Book Archive

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