Hi all,<br><br>I wrote a small program in C++ using boost to read a neural network file (directional graph of a feedforward multilayer perceptron) into boost::numeric::ublas::matrix.  The typical file size creates matrices of various sizes, anywhere from a 36x36 to a 130x130 matrix (of floats - edge weights between 0 and 1 to four sig figs).  About half to two-thirds of the values are 0 in a typical graph, so I think of them as sparse.  There are thousands of such files, so I have been really thrilled with the speed of boost.  (I was doing this work with Perl last year.  Ahem.)<br clear="all">
<br>Now I want to implement the boost matrix_as_graph library so that I can convert my matrix into a graph and then implement various network metrics on the graph (such as betweenness_centrality.hpp).  However, when I looked in the docs at <a href="http://www.boost.org/doc/libs/1_38_0/boost/graph/matrix_as_graph.hpp">http://www.boost.org/doc/libs/1_38_0/boost/graph/matrix_as_graph.hpp</a><br>
I was dismayed to find only a code listing: no explanation, no examples.<br><br>I&#39;m not the strongest C++ coder.  Can someone point me to an example or tutorial of how to implement matrix_as_graph to turn a ublas::matrix into a graph?  I think I could puzzle it out if I could find an example to emulate.<br>
<br>I&#39;ll repay the community with a simple blog tutorial of how I did it, if someone can only help me get started.<br><br>Thanks in advance,<br>John<br>-- <br>John Burgoon<br>Indiana University<br>Bloomington, IN, USA<br>
-- <br>&gt;&gt;Insight without implementation is worthless. Get to work.<br>