graph/example/clustering_coefficient.cpp
2011-11-13 06:10:55 +00:00

70 lines
2.1 KiB
C++

// (C) Copyright Andrew Sutton 2007
//
// Use, modification and distribution are subject to the
// Boost Software License, Version 1.0 (See accompanying file
// LICENSE_1_0.txt or http://www.boost.org/LICENSE_1_0.txt)
//[code_clustering_coefficient
#include <iostream>
#include <iomanip>
#include <boost/graph/undirected_graph.hpp>
#include <boost/graph/exterior_property.hpp>
#include <boost/graph/clustering_coefficient.hpp>
#include "helper.hpp"
using namespace std;
using namespace boost;
// The Actor type stores the name of each vertex in the graph.
struct Actor
{
string name;
};
// Declare the graph type and its vertex and edge types.
typedef undirected_graph<Actor> Graph;
typedef graph_traits<Graph>::vertex_descriptor Vertex;
typedef graph_traits<Graph>::edge_descriptor Edge;
// The name map provides an abstract accessor for the names of
// each vertex. This is used during graph creation.
typedef property_map<Graph, string Actor::*>::type NameMap;
// The clustering property, container, and map define the containment
// and abstract accessor for the clustering coefficients of vertices.
typedef exterior_vertex_property<Graph, float> ClusteringProperty;
typedef ClusteringProperty::container_type ClusteringContainer;
typedef ClusteringProperty::map_type ClusteringMap;
int
main(int argc, char *argv[])
{
// Create the graph and a name map that provides access to
// then actor names.
Graph g;
NameMap nm(get(&Actor::name, g));
// Read the graph from standard input.
read_graph(g, nm, cin);
// Compute the clustering coefficients of each vertex in the graph
// and the mean clustering coefficient which is returned from the
// computation.
ClusteringContainer coefs(num_vertices(g));
ClusteringMap cm(coefs, g);
float cc = all_clustering_coefficients(g, cm);
// Print the clustering coefficient of each vertex.
graph_traits<Graph>::vertex_iterator i, end;
for(boost::tie(i, end) = vertices(g); i != end; ++i) {
cout << setw(12) << setiosflags(ios::left)
<< g[*i].name << get(cm, *i) << endl;
}
cout << "mean clustering coefficient: " << cc << endl;
return 0;
}
//]