# Pushing the Envelope in Graph Compression

@article{Liakos2014PushingTE, title={Pushing the Envelope in Graph Compression}, author={Panagiotis Liakos and Katia Papakonstantinopoulou and Michael Sioutis}, journal={Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management}, year={2014} }

We improve the state-of-the-art method for the compression of web and other similar graphs by introducing an elegant technique which further exploits the clustering properties observed in these graphs. The analysis and experimental evaluation of our method shows that it outperforms the currently best method of Boldi et al. by achieving a better compression ratio and retrieval time. Our method exhibits vast improvements on certain families of graphs, such as social networks, by taking advantage…

## 26 Citations

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## References

SHOWING 1-10 OF 30 REFERENCES

### Graph Compression by BFS

- Computer ScienceAlgorithms
- 2009

A compression scheme that combines efficient storage with fast retrieval for the information in a node and exploits the properties of the Web Graph without assuming an ordering of the URLs, so that it may be applied to more general graphs.

### Towards compressing Web graphs

- Computer ScienceProceedings DCC 2001. Data Compression Conference
- 2001

The performance of the algorithms on graphs generated by the random graph models suggests that by taking advantage of the link structure of the Web, one may achieve significantly better compression than natural Huffman-based schemes.

### Compressing the graph structure of the Web

- Computer ScienceProceedings DCC 2001. Data Compression Conference
- 2001

This work describes techniques for compressing the graph structure of the Web, and gives experimental results of a prototype implementation and attempts to exploit a variety of different sources of compressibility of these graphs and of the associated set of URLs in order to obtain good compression performance on a large Web graph.

### Efficient Compression of Web Graphs

- Computer ScienceCOCOON
- 2008

This paper proposes a new method to compress a Web graph that is more efficient than Boldi and Vigna's method with respect to the size of the compressed data.

### On the Effect of Locality in Compressing Social Networks

- Computer ScienceECIR
- 2014

This work improves the state-of-the-art method for graph compression by exploiting the locality of reference observed in social network graphs by taking advantage of certain dense parts of those graphs, which enable the overall space requirements to be reduced.

### A Fast and Compact Web Graph Representation

- Computer ScienceSPIRE
- 2007

This paper shows that the same properties of Web graphs can be exploited with a different and elegant technique, built on Re-Pair compression, which achieves about the same space but much faster navigation of the graph.

### Permuting Web and Social Graphs

- Computer ScienceInternet Math.
- 2009

It is shown that for a transposed web graph, URL ordering is significantly less effective, and that some new mixed orderings combining host information and Gray/lexicographic orderings outperform all previous methods.

### On compressing social networks

- Computer ScienceKDD
- 2009

This work proposes simple combinatorial formulations that encapsulate efficient compressibility of graphs and shows that some of the problems are NP-hard yet admit effective heuristics, some of which can exploit properties of social networks such as link reciprocity.

### Practical representations for web and social graphs

- Computer ScienceCIKM '11
- 2011

A new proposal for indexing MPK linearizations, which have proven to be an effective way of representing social networks in little space by exploiting common dense subgraphs, is explored.

### The webgraph framework I: compression techniques

- Computer ScienceWWW '04
- 2004

This papers presents the compression techniques used in WebGraph, which are centred around referentiation and intervalisation (which in turn are dual to each other).