From 3aee2fd43e3059a699af2b63c6f2395e5a55e515 Mon Sep 17 00:00:00 2001 From: KatolaZ Date: Wed, 27 Sep 2017 15:06:31 +0100 Subject: First commit on github -- NetBunch 1.0 --- src/betweenness/bet_dependency.c | 224 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 224 insertions(+) create mode 100644 src/betweenness/bet_dependency.c (limited to 'src/betweenness/bet_dependency.c') diff --git a/src/betweenness/bet_dependency.c b/src/betweenness/bet_dependency.c new file mode 100644 index 0000000..2b55543 --- /dev/null +++ b/src/betweenness/bet_dependency.c @@ -0,0 +1,224 @@ +/** + * This program is free software: you can redistribute it and/or + * modify it under the terms of the GNU General Public License as + * published by the Free Software Foundation, either version 3 of the + * License, or (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU + * General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see + * . + * + * (c) Vincenzo Nicosia 2009-2017 -- + * + * This file is part of NetBunch, a package for complex network + * analysis and modelling. For more information please visit: + * + * http://www.complex-networks.net/ + * + * If you use this software, please add a reference to + * + * V. Latora, V. Nicosia, G. Russo + * "Complex Networks: Principles, Methods and Applications" + * Cambridge University Press (2017) + * ISBN: 9781107103184 + * + *********************************************************************** + * + * This program computes the betweenness dependency of all the nodes + * of a graph, using Brandes' algorithm, and counting all the + * shortest paths originating from a set of nodes (potentially the + * whole set of vertices). + * + * References: + * U. Brandes. "A Faster Algorithm for Betweenness + * Centrality". J. Math. Sociol. 25 (2001), 163-177. + * + */ + + +#include +#include +#include + +#include "utils.h" + + +void usage(char *argv[]){ + printf("********************************************************************\n" + "** **\n" + "** -*- bet_dependency -*- **\n" + "** **\n" + "** Compute the betweenness dependency of all the nodes of a **\n" + "** network due to the shortest paths originating from a set **\n" + "** of initial nodes. If no start node is specified, compute **\n" + "** the dependency due to all the nodes of the graph. If no end **\n" + "** node is specified, compute the dependency due to the nodes **\n" + "** between node_start and the last node of the graph. **\n" + "** **\n" + "** The dependency of each node is printed on standard output. **\n" + "** **\n" + "** **\n" + "********************************************************************\n" + "\n\n" + " This is Free Software - You can use and distribute it under \n" + " the terms of the GNU General Public License, version 3 or later\n\n" + " (c) Vincenzo Nicosia 2009-2017 (katolaz@yahoo.it)\n\n"); + printf("Usage: %s [ []]\n\n" , argv[0]); +} + +void add_predecessor(unsigned int **pred, unsigned int k){ + + (*pred)[0] += 1; + *pred = realloc(*pred, ((*pred)[0] + 1) * sizeof(unsigned int)); + (*pred)[ (*pred)[0] ] = k; +} + + + +/* + * Returns a list of dependencies + */ +double* compute_bet_dependency(unsigned int N, unsigned int *J_slap, unsigned int *r_slap, + unsigned int n_start, unsigned int n_end){ + + int i, j, k, w, idx, cur_node; + unsigned int *marked, **preds, *dist, *nj; + double *delta, *cB; + unsigned int d; + unsigned int n, nd, ndp; + + dist = malloc(N * sizeof(unsigned int)); + marked = malloc(N * sizeof(unsigned int)); + preds = malloc(N * sizeof(unsigned int *)); + + nj = malloc(N * sizeof(unsigned int)); + delta = malloc(N * sizeof(double)); + cB = malloc(N * sizeof(double)); + + for (i=0; i 0){ + for(i = n; i< n+nd; i ++){ + cur_node = marked[i]; + for (k=r_slap[cur_node]; k=1; k--){ + w = marked[k]; + for (idx=1; idx <= preds[w][0]; idx ++ ){ + i = preds[w][idx]; + delta[i] += 1.0 * nj[i] / nj[w] * (1 + delta[w]); + } + cB[w] += delta[w]; + } + } + free(dist); + free(marked); + for (i=0; i