Connected graph given adjacency matrix
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imperial1991
el 29 de Mayo de 2012
Respondida: Hon Wah Yeung
el 31 de En. de 2021
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
el 29 de Mayo de 2012
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.
Más respuestas (3)
Christine Tobler
el 22 de Dic. de 2016
Editada: Christine Tobler
el 22 de Nov. de 2019
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
el 24 de Ag. de 2017
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
el 22 de Nov. de 2019
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
el 31 de En. de 2021
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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