Cavique, LuísMendes, Armando B.Santos, Jorge M. A.2013-07-232013-07-232009Cavique, Luis ; Mendes, Armando B. e Santos, Jorge M.A. (2009). "An Algorithm to Discover the k-Clique Cover in Networks", In Lopes, L. Seabra et al. (Eds.) «Progress in Artificial Intelligence», Proceedings of the 14th Portuguese Conference on Artificial Intelligence, EPIA 2009, LNCS 5816, Springer-Verlag Berlin Heidelberg, pp. 363-373. ISBN: 978-3-642-04685-8.978-3-642-04685-8http://hdl.handle.net/10400.3/214814th Portuguese Conference on Artificial Intelligence, EPIA 2009, Aveiro, Portugal, October 12-15, 2009.In social network analysis, a k-clique is a relaxed clique, i.e., a kclique is a quasi-complete sub-graph. A k-clique in a graph is a sub-graph where the distance between any two vertices is no greater than k. The visualization of a small number of vertices can be easily performed in a graph. However, when the number of vertices and edges increases the visualization becomes incomprehensible. In this paper, we propose a new graph mining approach based on k-cliques. The concept of relaxed clique is extended to the whole graph, to achieve a general view, by covering the network with k-cliques. The sequence of k-clique covers is presented, combining small world concepts with community structure components. Computational results and examples are presented.engData MiningGraph MiningSocial Networksbook part2013-07-18