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Clique covering of large real-world networks
Author(s) -
Alessio Conte,
Roberto Grossi,
Andrea Marino
Publication year - 2016
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
ISBN - 978-1-4503-3739-7
DOI - 10.1145/2851613.2851816
Subject(s) - clique , computer science , enhanced data rates for gsm evolution , perspective (graphical) , set (abstract data type) , theoretical computer science , clique percolation method , linear programming , mathematics , artificial intelligence , algorithm , cluster analysis , combinatorics , programming language
International audienceThe edge clique covering (ecc) problem deals with discovering a set of (possibly overlapping) cliques in a given network, such that each edge is part of at least one of these cliques. We address the ecc problem from an alternative perspective reconsidering the quality of the cliques found, and proposing more structured criteria with respect to the traditional measures such as minimum number of cliques. In the case of real-world networks, having millions of nodes, such as social networks, the possibility of getting a result is constrained to the running time, which should be linear or almost linear in the size of the network. Our algorithm for finding eccs of large networks has linear-time performance in practice, as our experiments show on real-world networks whose number of nodes ranges from thousands to several millions

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