1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
|
/*
* This file is part of MAMMULT: Metrics And Models for Multilayer Networks
*
* 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/>.
*/
/**
*
* Take a file which contains pairs in the form:
*
* k q
*
* compute qnn(k) and fit this function with a power-law
*
* a*x^{b}
*
* The fit is actually performed as a linear fit on the
* exponential-binned log-log distribution
*
*
*/
#include <stdio.h>
#include <stdlib.h>
#include <gsl/gsl_fit.h>
#include "fit_utils.h"
int main(int argc, char *argv[]){
double *k, *q, *x, *y;
int N, num;
double alpha;
double c0, c1, cov00, cov01, cov11, sqsum;
k=q=x=y=NULL;
if (argc < 3){
printf("%s <filein> <alpha>\n", argv[0]);
exit(1);
}
alpha=atof(argv[2]);
fprintf(stderr,"Alpha: %g\n", alpha);
load_sequence_col(argv[1], &k, &N, 0);
load_sequence_col(argv[1], &q, &N, 1);
//exit(1);
exp_bin_avg(k, q, N, alpha, &x, &y, &num);
//normalize_distr(x, y, num);
//dump_distr(x, y, num);
compact_distr(x, y, &num);
// dump_distr(x,y,num);
map_vec(x, num, log);
map_vec(y, num, log);
//dump_distr(x,y,num);
gsl_fit_linear(x, 1, y, 1, num, &c0, &c1, &cov00, &cov01, &cov11, &sqsum);
fprintf(stderr, "a: %g b: %g\n", exp(c0), c1);
}
|
