summaryrefslogtreecommitdiff
path: root/src/power_law/power_law.c
diff options
context:
space:
mode:
authorKatolaZ <katolaz@freaknet.org>2017-09-27 15:06:31 +0100
committerKatolaZ <katolaz@freaknet.org>2017-09-27 15:06:31 +0100
commit3aee2fd43e3059a699af2b63c6f2395e5a55e515 (patch)
tree58c95505a0906ed9cfa694f9dbd319403fd8f01d /src/power_law/power_law.c
First commit on github -- NetBunch 1.0
Diffstat (limited to 'src/power_law/power_law.c')
-rw-r--r--src/power_law/power_law.c146
1 files changed, 146 insertions, 0 deletions
diff --git a/src/power_law/power_law.c b/src/power_law/power_law.c
new file mode 100644
index 0000000..4733019
--- /dev/null
+++ b/src/power_law/power_law.c
@@ -0,0 +1,146 @@
+/**
+ * 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
+ * <http://www.gnu.org/licenses/>.
+ *
+ * (c) Vincenzo Nicosia 2009-2017 -- <v.nicosia@qmul.ac.uk>
+ *
+ * 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 samples a degree sequence from a discrete power-law
+ * distribution with a given exponent.
+ *
+ */
+
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <math.h>
+#include <time.h>
+#include <errno.h>
+
+
+void usage(char *argv[]){
+ printf("********************************************************************\n"
+ "** **\n"
+ "** -*- power_law -*- **\n"
+ "** **\n"
+ "** Sample 'N' elements from a power law degree distribution **\n"
+ "** P(k) ~= k^{gamma} **\n"
+ "** with degrees in the range [k_min, k_max], and print them **\n"
+ "** on STDOUT. **\n"
+ "** **\n"
+ "** If the obtained degree sequence is even, i.e., if the sum **\n"
+ "** of all the sampled degrees is even, the program returns 0 **\n"
+ "** (zero), otherwise it returns 1. **\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 2010-2017 (v.nicosia@qmul.ac.uk)\n\n"
+ "********************************************************************\n\n"
+ );
+ printf("Usage: %s <gamma> <k_min> <k_max> <N>\n" , argv[0]);
+}
+
+
+
+void create_distr(double *v, double gamma, int k_min, int k_max){
+ int n, i;
+ double sum, new_sum;
+
+ n = k_max-k_min + 1;
+
+ sum = 0;
+ for(i=0; i<n; i++){
+ v[i] = pow((k_min + i), gamma);
+ sum += v[i];
+ }
+ new_sum = 0;
+ /* Now we normalize the array*/
+ for(i=0; i<n; i++){
+ v[i]/= sum;
+ new_sum += v[i];
+ }
+ /* Now we compute the cumulative distribution*/
+ for(i=1; i<n; i++){
+ v[i] += v[i-1];
+ }
+}
+
+
+int find_degree(double *v, int dim, double xi){
+ int i;
+
+ i=0;
+ while(xi > v[i])
+ i++;
+ return i;
+
+}
+
+
+int main(int argc, char *argv[]){
+
+ double gamma, xi, val, q;
+ unsigned int N, i, distr_num, k, k_min, k_max, K;
+ double *distr;
+
+ if (argc < 5){
+ usage(argv);
+ exit(1);
+ }
+
+ srand(time(NULL));
+
+ gamma = atof(argv[1]);
+ k_min = atoi(argv[2]);
+ k_max = atoi(argv[3]);
+ N = atoi(argv[4]);
+
+ K = 0;
+
+ distr_num = k_max - k_min + 1;
+ distr = malloc(distr_num * sizeof(double));
+
+ create_distr(distr, gamma, k_min, k_max);
+
+ for(i=0; i<N;){
+ xi = rand()* 1.0 / RAND_MAX;
+ k = find_degree(distr, distr_num, xi);
+ val = rand()*1.0/RAND_MAX;
+ q = k_min + xi * distr_num;
+ q = q / (floor(q) + 1);
+ q = pow(q, gamma);
+ if (val <= q){
+ printf("%d\n", k+k_min);
+ K += k+k_min;
+ i++;
+ }
+ }
+ free(distr);
+ /* Return 0 if the degree sequence is even, or 1 otherwise */
+ return K%2;
+}