Evolving complex networks with conserved clique distributions.
We propose and study a hierarchical algorithm to generate graphs having a predetermined distribution of cliques, the fully connected subgraphs. The construction mechanism may be either random or incorporate preferential attachment. We evaluate the statistical properties of the graphs generated, such as the degree distribution and network diameters, and compare them to some real-world graphs.
Kaczor
Gregor
G
Institute for Theoretical Physics, Johann Wolfgang Goethe University, Frankfurt am Main, Germany.
Gros
Claudius
C