centrality.c File Reference

Network Analysis library - centrality. More...

#include <stdio.h>
#include <stdlib.h>
#include <grass/gis.h>
#include <grass/vector.h>
#include <grass/glocale.h>
#include <grass/dgl/graph.h>
#include <grass/neta.h>

Include dependency graph for centrality.c:

Go to the source code of this file.

Functions
void	NetA_degree_centrality (dglGraph_s *graph, double *degree)
	Computes degree centrality measure. More...
int	NetA_eigenvector_centrality (dglGraph_s *graph, int iterations, double error, double *eigenvector)
	Computes eigenvector centrality using edge costs as weights. More...
int	NetA_betweenness_closeness (dglGraph_s *graph, double *betweenness, double *closeness)
	Computes betweenness and closeness centrality measure using Brandes algorithm. More...

Detailed Description

Network Analysis library - centrality.

Centrality measures

(C) 2009-2010 by Daniel Bundala, and the GRASS Development Team

This program is free software under the GNU General Public License (>=v2). Read the file COPYING that comes with GRASS for details.

Author

Daniel Bundala (Google Summer of Code 2009)

Definition in file centrality.c.

Function Documentation

NetA_betweenness_closeness()

int NetA_betweenness_closeness	(	dglGraph_s *	graph,
		double *	betweenness,
		double *	closeness
	)

Computes betweenness and closeness centrality measure using Brandes algorithm.

Edge costs must be nonnegative. If some edge costs are negative then the behaviour of this method is undefined.

Parameters

	graph	input graph
[out]	betweenness	betweenness values
[out]	closeness	cloneness values

Returns

0 on success

-1 on failure

Definition at line 125 of file centrality.c.

References count.

NetA_degree_centrality()

void NetA_degree_centrality	(	dglGraph_s *	graph,
		double *	degree
	)

Computes degree centrality measure.

Array degree has to be properly initialised to nnodes+1 elements

Parameters

	graph	input graph
[out]	degree	array of degrees

Definition at line 32 of file centrality.c.

References dglGet_NodeCount(), dglGetNode(), and dglNodeGet_OutDegree().

NetA_eigenvector_centrality()

int NetA_eigenvector_centrality	(	dglGraph_s *	graph,
		int	iterations,
		double	error,
		double *	eigenvector
	)

Computes eigenvector centrality using edge costs as weights.

Parameters

	graph	input graph
	iterations	number of iterations
	error	?
[out]	eigenvector	eigen vector value

Returns

0 on success

-1 on failure

Definition at line 54 of file centrality.c.