finding cycles in directed graph

I am creating a random adjacency matrix for a directed graph and I want to find the cycles. I am using the findcycles function that I found online
I have the following code
rand('seed',1)
n=5;
A=zeros(5);
x=zeros(1,n);
for i=1:n
A(:,i)=randperm(n);
end
A
adj=zeros(n);
for i=1:n
adj(i,A(1,i))=1;
end
view(biograph(adj))
findcycles(adj)
But I get the following error, any ideas?
Warning: Self connecting nodes are not allowed, ignoring the diagonal of CM.
> In biograph (line 160)
In tops (line 13)
Error: File: findcycles.m Line: 5 Column: 10
Invalid expression. Check for missing multiplication operator, missing or unbalanced delimiters, or other syntax error. To construct matrices, use
brackets instead of parentheses.
Error in tops (line 14)
findcycles(adj)

7 个评论

This sounds like there's a bug in findcycles.m (an invalid expression on line 5). Where did you find it?
Thanks, the problem was solved using sparse(adj).
Then the output looks like
ans =
1 4
ans =
3
My question now is how to save the answers into a variable, say called results. This is a problem because I do not know how many cycles the command is going to find. So something like
[result1, result2] = findcycles(sparse(adj))
will not work because sometimes there is one, sometimes two, sometimes three outputs.
I can't really help without knowing the definition of the findcycles function.
function findcycles(G)
numNodes = size(G,1);
for n = 1:numNodes
[D,P]=graphtraverse(G,n);
for d = D
if G(d,n)
graphpred2path(P,d)
end
end
G(n,:)=0;
end
Here's a way that you can change the function to return all the cycles into a cell array:
function pathCell = findcyclesMod(G)
numNodes = size(G,1);
pathCell = {};
for n = 1:numNodes
[D,P]=graphtraverse(G,n);
for d = D
if G(d,n)
pathCell{end+1} = graphpred2path(P,d);
end
end
G(n,:)=0;
end
A cell array is a datastructure where every element can contain an array of varying size, so each element of pathCell contains a vector that represents one path.
Looking at the findcycles function, it seems this won't find all the cycles. In an example:
Here findcycles returns the following cycles:
1 5
1 5 2 3
2 3 5
2 3 5 6 4
3 5 6
3 5 6 4
4 6
This is not showing the possible cycle [2 6 4], for example.
Would you mind telling a bit more about what your requirements are for findcycles? Do you need all cycles in a graph, or just a cycle for any node that contains a cycle? Many of the possible cycles can be just recombinations of other existing cycles (for example in a complete graph (a graph where every pair of two nodes is connected by an edge), any list of nodes would be a cycle, leading to a very long list even for small graphs.
I'm trying to make this code work for myself, but I have problems in running the graphtraverse function. The graph I am working with is - according to MATLAB - a non-sparse one. So the function won't work on it. Is there any function like graphtraverse that works on non-sparse matrices?
The attached file is my non-sparse adjacency matrix.
Cheers!
Got it! I solved the problem by converting my adjacency matrix using the sparse function.

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