Graph Compression by BFS

The Web Graph is a large-scale graph that does not fit in main memory, so that lossless compression methods have been proposed for it. This paper introduces a compression scheme that combines efficient storage with fast retrieval for the information in a node. The scheme exploits the properties of t...

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Bibliographic Details
Main Authors: Alberto Apostolico, Guido Drovandi
Format: Article
Language:English
Published: MDPI AG 2009-08-01
Series:Algorithms
Subjects:
Online Access:http://www.mdpi.com/1999-4893/2/3/1031/
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spelling doaj-1e6e07f9148241d9a4007991ed1256192020-11-25T00:27:52ZengMDPI AGAlgorithms1999-48932009-08-01231031104410.3390/a2031031Graph Compression by BFSAlberto ApostolicoGuido DrovandiThe Web Graph is a large-scale graph that does not fit in main memory, so that lossless compression methods have been proposed for it. This paper introduces a compression scheme that combines efficient storage with fast retrieval for the information in a node. The scheme exploits the properties of the Web Graph without assuming an ordering of the URLs, so that it may be applied to more general graphs. Tests on some datasets of use achieve space savings of about 10% over existing methods. http://www.mdpi.com/1999-4893/2/3/1031/data compressionweb graphgraph compressionbreadth first searchuniversal codes
collection DOAJ
language English
format Article
sources DOAJ
author Alberto Apostolico
Guido Drovandi
spellingShingle Alberto Apostolico
Guido Drovandi
Graph Compression by BFS
Algorithms
data compression
web graph
graph compression
breadth first search
universal codes
author_facet Alberto Apostolico
Guido Drovandi
author_sort Alberto Apostolico
title Graph Compression by BFS
title_short Graph Compression by BFS
title_full Graph Compression by BFS
title_fullStr Graph Compression by BFS
title_full_unstemmed Graph Compression by BFS
title_sort graph compression by bfs
publisher MDPI AG
series Algorithms
issn 1999-4893
publishDate 2009-08-01
description The Web Graph is a large-scale graph that does not fit in main memory, so that lossless compression methods have been proposed for it. This paper introduces a compression scheme that combines efficient storage with fast retrieval for the information in a node. The scheme exploits the properties of the Web Graph without assuming an ordering of the URLs, so that it may be applied to more general graphs. Tests on some datasets of use achieve space savings of about 10% over existing methods.
topic data compression
web graph
graph compression
breadth first search
universal codes
url http://www.mdpi.com/1999-4893/2/3/1031/
work_keys_str_mv AT albertoapostolico graphcompressionbybfs
AT guidodrovandi graphcompressionbybfs
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