I\'m trying to write a simple program to calculate betweeness using brandes_betweenness_centrality from boostlib. I got stuck at getting an output (CentralityMap). I\'ve been reading the documentation
I currently use C++ to do some gra开发者_开发百科ph related computation using boost::graph. boost::graph can output its graph as a dot file and I use a std::stringstream to capture the output dot file
I would like to to sort the edge List of boost::graph defined as followed: struct Vertex{ int index; }; struct Edge{
I have a set of edges from a graph, and would like to expand it with all edges that share a v开发者_开发百科ertex with any edge. How could I do this efficiently with boost::graphs?
Defining my boost::graph like the following, I get edge indices zero for all edges. Why? What am I doing wrong?
In the algorithm I\'m currently implementing, there is this line (where u is a vertex in a graph, and Pred(u) are all vertices having edges pointing at u):
I have a tree (in the graph sense) representation of a tree (in the physical sense). The tree is represented as a BGL adjacency list where each vertex contains radius and position properties, i.e., my
BGL\'s depth_first_search algorithm sometimes calls back_edge() on visitors even if there are no cycles in the graph. By definition of back edge, and according to Boost\'s DFS Visitor Documentation, t
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I am trying to define a graph with undirected edges from a set of pair(int,int) edges (where each int represents a vertex index). Each such edge has an index of its own.
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