The clustering patterns generated by the observed galaxy distribution have been analyzed in the literature with various statistical methods. The traditional approach has been the estimate of the two-point correlation function (r), which measures the probability in excess of random of finding a galaxy at distance r from a given one. A more complete clustering description is obtained by measuring the correlation functions of higher order. Other statistical indicators have been considered , such as percolation, minimal spanning tree, topological invariants, multifractal spectrum and Minkowski functionals. These methods  were introduced in order to quantify the large-scale structure clustering and to check the consistency of theoretical predictions with clustering data.

In this area I have worked on different subjects: