Connected graph given adjacency matrix
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Hi all, I'm working on a research project on graphical models involving a large dimension (large number of nodes). I'm just wondering, is there an existing efficient algorithm to determine whether the graph is connected or not given its adjacency matrix? I've tried looking but it seems that the existing ones are brute force algorithms which are costly. Does MATLAB have a built-in function? When I checked, it seems that none exists as of now.
Help would be greatly appreciated!
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Wolfgang Schwanghart
2012-5-29
You can use the function dmperm to see if a graph consists of one or several connected components. E.g. see the example here http://blogs.mathworks.com/steve/2007/03/20/connected-component-labeling-part-3/
HTH, W.
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Christine Tobler
2016-12-22
编辑:Christine Tobler
2019-11-22
I realize this is an old question, but since it's still getting visits, I have a small addition. As of R2015b, the new graph and digraph classes have a method for computing connected components. To check whether a graph is connected based on its adjacency matrix A, use
g = digraph(A);
bins = conncomp(g, 'Type', 'weak');
isConnected = all(bins == 1);
The vector bins gives the bin number for each node of A. If a graph is connected, all nodes will be in one bin, which is checked using all(bins == 1). This is not necessarily faster than dmperm, but easier to read.
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Jonathan DuBois
2017-8-24
What is the point of the first command? Should it be: bins = conncomp(g, 'Type', 'weak')? It works with g in the second command but with A, I get the following error: Undefined function 'conncomp' for input arguments of type 'double'.
Christine Tobler
2019-11-22
Thank you, yes, this was a typo. I've edited the original answer to fix this (although it took me two years to realize you had commented on this answer).
Hon Wah Yeung
2021-1-31
This will work if you can at least load the matrix (meaning the matrix is not larger than the max possible array for Matlab) to Matlab.
function [idx,Group] = CheckConnected(E)
L=length(E);
T=find(E(:,1)~=0);
T=[T;1]';
M=sum(E(:,T),2);
T1=union(find(M~=0),T);
while length(T1)>length(T)
T=T1;
M=sum(E(:,T),2);
T1=union(find(M~=0),T);
end
if length(T)==L
idx=1;
Group=T;
else
idx=0;
Group=T;
end
end
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