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SIGMOD
2010
ACM

Finding maximal cliques in massive networks by H*-graph

10 years 2 months ago
Finding maximal cliques in massive networks by H*-graph
Maximal clique enumeration (MCE) is a fundamental problem in graph theory and has important applications in many areas such as social network analysis and bioinformatics. The problem is extensively studied; however, the best existing algorithms require memory space linear in the size of the input graph. This has become a serious concern in view of the massive volume of today’s fastgrowing network graphs. Since MCE requires random access to different parts of a large graph, it is difficult to divide the graph into smaller parts and process one part at a time, because either the result may be incorrect and incomplete, or it incurs huge cost on merging the results from different parts. We propose a novel notion, H∗ -graph, which defines the core of a network and extends to encompass the neighborhood of the core for MCE computation. We propose the first external-memory algorithm for MCE (ExtMCE) that uses the H∗ -graph to bound the memory usage. We prove both the correctness and ...
James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey X
Added 18 Jul 2010
Updated 18 Jul 2010
Type Conference
Year 2010
Where SIGMOD
Authors James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey Xu Yu, Linhong Zhu
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