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From: Andrea Olgiati (andrea.olgiati_at_[hidden])
Date: 2005-06-21 03:09:01


The Johnson's SP algorithm as implemented in the BGL does not easily
provide a way to determine whether two vertices are do have a path
between them. I include below a simplified version of the example
provided with the BGL.
Running it I get the output below:
D[1][0]=2147483647 <- no path between nodes '1' and '0'
D[1][2]=2147483643 <- no path between nodes '1' and '2'
D[2][0]=-2147483645 <- no path between nodes '2' and '0'
D[2][1]=-2147483645 <- no path between nodes '2' and '1'

That is, there isn't one single value that represents lack of
connectivity - one has to pick a value close enough to 'inf' and
discriminate with that.
Shouldn't 'inf' (however represented) describe lack of connectivity?
(To get around this problem, at the moment I run a transitive closure
before JSP and use the result of that to determine whether two vertices
are connected).

Does this make sense or am I missing something?


#include <boost/property_map.hpp>
#include <boost/graph/adjacency_list.hpp>
#include <boost/graph/johnson_all_pairs_shortest.hpp>
#include <iostream>

int main()
  using namespace boost;
  typedef adjacency_list<vecS, vecS, directedS, no_property,
    property< edge_weight_t, int, property< edge_weight2_t, int > > >
  const int V = 3;
  typedef std::pair < int, int >Edge;
  Edge edge_array[] =
    { Edge(0, 1), Edge(0, 2) };
  const std::size_t E = sizeof(edge_array) / sizeof(Edge);
  Graph g(edge_array, edge_array + E, V);

  property_map < Graph, edge_weight_t >::type w = get(edge_weight, g);
  int weights[] = { 3, -4 };
  int *wp = weights;

  graph_traits < Graph >::edge_iterator e, e_end;
  for (boost::tie(e, e_end) = edges(g); e != e_end; ++e)
    w[*e] = *wp++;

  std::vector < int >d(V, (std::numeric_limits < int >::max)());
  int D[V][V];
  johnson_all_pairs_shortest_paths(g, D, distance_map(&d[0]));

  std::cout << " ";
  std::cout << std::endl;
  for (int i = 0; i < V; ++i)
    for (int j = 0; j < V; ++j)
        std::cout << "D[" << i << "][" << j << "]=" << D[i][j] <<
  return 0;

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