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Fast algorithms for the maximum clique problem on massive sparse graphs. arXiv preprint arXiv:1209.5818v2 (2012)
| Content Provider | CiteSeerX |
|---|---|
| Author | Pattabiraman, Bharath Mostofa Patwary, Ali Gebremedhin, Assefaw H. Liao, Wei-Keng Choudhary, Alok |
| Abstract | The maximum clique problem is a well known NP-Hard problem with applications in data min-ing, network analysis, information retrieval and many other areas related to the World Wide Web. There exist several algorithms for the problem with acceptable runtimes for certain classes of graphs, but many of them are infeasible for massive graphs. We present a new exact algorithm that employs novel pruning techniques and is able to find maximum cliques in very large, sparse graphs quickly. Extensive experiments on different kinds of synthetic and real-world graphs show that our new al-gorithm can be orders of magnitude faster than existing algorithms. We also present a heuristic that runs orders of magnitude faster than the exact algorithm while providing optimal or near-optimal solutions. We illustrate a simple application of the algorithms in developing methods for detection of overlapping communities in networks. 1 |
| File Format | |
| Publisher Date | 2012-01-01 |
| Access Restriction | Open |
| Content Type | Text |
