Hi Rui,
I just sent a reply about "using biconnected_components" that addresses
the same issue. You can create an associative_property_map from an
std::map and the following function object:
struct order_edges
{
template<typename T>
bool operator()(const T& x, const T& y) const
{
return x.get_property() < y.get_property();
}
};
The map (base_map) and property map ("edge_centrality") will look like
this:
typedef std::map< graph_traits
Hi,
I'm trying to write code to compute Brandes' Betweenness Centrality for a very simple graph: a star. I'm doing this, as I haven't been able to find simple examples in the documentation [hint :)] for vecS,vecS graphs and still haven't grasped how edge property maps work.
I've got it running if all I want is to compute vertex BC (see below, also attached), but can't get it to compute both vertex and edge BC. I'd appreciate any suggestions -perhaps my example (or something similar) could be corrected and included in the BGL?
Thanks, Rui
#include <iostream> // for std::dataout #include <utility> // for std::pair
#include
// for boost::tie #include // for boost::graph_traits #include #include //for boost::brandes_betweenness_centrality #include
using namespace boost; using namespace std;
typedef adjacency_list < vecS, //Store out-edges vecS, //Store vertex set undirectedS, //the graph is undirected property
> Graph; typedef graph_traits<Graph>::vertex_descriptor Vertex; typedef graph_traits<Graph>::vertex_iterator Vertex_Iter;
typedef graph_traits<Graph>::edge_descriptor Edge; typedef graph_traits<Graph>::edge_iterator Edge_Iter;
typedef property_map
::type Name_Map_t; typedef property_map ::type Edge_Map_t; int main(int,char*[]) { int n_vrtx = 5;
//Builds graph with vertices, but no edges Graph g_star(n_vrtx);
//Add edges. Graph g_star is a star add_edge(vertex(0, g_star), vertex(4, g_star), g_star); add_edge(vertex(1, g_star), vertex(4, g_star), g_star); add_edge(vertex(2, g_star), vertex(4, g_star), g_star); add_edge(vertex(3, g_star), vertex(4, g_star), g_star);
Vertex_Iter vertex_iterator_begin, vertex_iterator_end;
std::vector<double> centrality(n_vrtx);
brandes_betweenness_centrality(g_star, centrality_map(make_iterator_property_map(centrality.begin(), get(vertex_index, g_star),double())).vertex_index_map(get(vertex_index, g_star)));
for ( tie(vertex_iterator_begin, vertex_iterator_end) = vertices(g_star); vertex_iterator_begin != vertex_iterator_end; ++vertex_iterator_begin) { cout << "Vertex: " << *vertex_iterator_begin <<"\tBC: "<< centrality[*vertex_iterator_begin] << endl;
} }
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