pm(1) -- Compute the leading eigenvalue and eigenvector of a graph ====== ## SYNOPSIS `pm` ## DESCRIPTION `pm` computes the leading eigenvalue and the corresponding eigenvector of the matrix given as input, using the Power Method. In particular, this implementation uses the Rayleigh iteration, which allows faster convergence on undirected graphs. ## PARAMETERS * : input graph (edge list) if equal to `-` (dash), read the edge list from STDIN (standard input). * : set either to `0` (zero) for undirected graphs, or to `1` (one) for directed graphs. * : Required relative error on the approximation of the leading eigenvalue. The program terminates when the relative change in the approximation of the eigenvalue is smaller than `eps` ## EXAMPLES The following command: $ pm er_1000_5000.net 0 0.0000001 computes the leading eigenvalue and the corresponding eigenvector of the undirected graph stored in the file `er_1000_5000.txt`. We can store the leading eigenvector in a file, e.g. by using the command: $ pm er_1000_5000.net 0 0.0000001 > er_1000_5000.net_eig 11.0335794552533 $ which will save the leading eigenvector in the file `er_1000_5000.net_eig`, one component for each row, and shown on output the leading eigenvalue of the graph. ## REFERENCES * V\. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles, Methods and Applications", Appendix 5, Cambridge University Press (2017) ## AUTHORS (c) Vincenzo 'KatolaZ' Nicosia 2009-2017 ``.