Open AccessThis article is
- freely available
Graph Compression by BFS
College of Computing, Georgia Institute of Technology, 801 Atlantic Drive, Atlanta, GA 30332, USA
Dipartimento di Ingegneria dell’Informazione, Università di Padova, Via Gradenigo 6/A, I-35131 Padova, Italy
Dipartimento di Informatica e Automazione, Università di Roma Tre, Via della Vasca Navale 79, I-00146 Roma, Italy
Istituto di Analisi dei Sistemi ed Informatica (IASI), CNR, Viale Manzoni 30, I-00185 Roma, Italy
* Author to whom correspondence should be addressed.
Received: 30 June 2009 / Revised: 20 August 2009 / Accepted: 21 August 2009 / Published: 25 August 2009
Abstract 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.
This is an open access article distributed under the
Creative Commons Attribution License which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
Share & Cite This Article
MDPI and ACS Style
Apostolico, A.; Drovandi, G. Graph Compression by BFS. Algorithms 2009, 2, 1031-1044.
View more citation formats
Apostolico A, Drovandi G. Graph Compression by BFS. Algorithms. 2009; 2(3):1031-1044.
Apostolico, Alberto; Drovandi, Guido. 2009. "Graph Compression by BFS." Algorithms 2, no. 3: 1031-1044.
Notes: Multiple requests from the same IP address are counted as one view.
For more information on the journal, click here
[Return to top]