%0 Journal Article
%T External-Memory Network Analysis Algorithms for Naturally Sparse Graphs
%A Michael T. Goodrich
%A Pawel Pszona
%J Computer Science
%D 2011
%I arXiv
%X In this paper, we present a number of network-analysis algorithms in the external-memory model. We focus on methods for large naturally sparse graphs, that is, n-vertex graphs that have O(n) edges and are structured so that this sparsity property holds for any subgraph of such a graph. We give efficient external-memory algorithms for the following problems for such graphs: - Finding an approximate d-degeneracy ordering; - Finding a cycle of length exactly c; - Enumerating all maximal cliques. Such problems are of interest, for example, in the analysis of social networks, where they are used to study network cohesion.
%U http://arxiv.org/abs/1106.6336v1