Graph compression by BFS
A Apostolico, G Drovandi - Algorithms, 2009 - mdpi.com
A Apostolico, G Drovandi
Algorithms, 2009•mdpi.comThe 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.
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.
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.