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How to create random graph of n vertices with c fixed neighbours in MATLAB?

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Vic
Vic am 8 Aug. 2012
I have written a code in MATLAB that allows me to generate a random graph of n vertices, each with c fixed neighbours without self connections (note the edges are directed, thus a connected to b does not imply b connected to a). However, it is terribly inefficient, especially when I need to it work on magnitudes such as n = 10000 and c = 1000. I was wondering if anyone could optimize it big time, or suggest anything constructive?
Thanks!
function [M]=matsrand(n,c)
MM=0; %arbitrary starting value
while MM ~=n*c
M = sparse(zeros(n));
ctin = zeros(1,n);
for i=1:n
rp = randperm(n); %generate vector of the randomly permuted order of n vertices
rp(rp==i)=[]; %get rid of itself to avoid self connection
noconnect=find(ctin(:)>=c); %generate list that i is not allowed to connect to
where=ismember(rp,noconnect); %returns 1 to the subset noconnect in rp
noconnectind=find(where);
rp(noconnectind(:))=[]; %remove the neurons i is not allowed to connect to
if length(rp)<c
break
else
r=rp(1:c);
end
M(i,r)=1;
ctin(r)=ctin(r)+1;
end
MM=sum(ctin);
end
  3 Kommentare
Vic
Vic am 8 Aug. 2012
Bearbeitet: Vic am 8 Aug. 2012
n=c is impossible for the vertices cannot self connect (that was what I meant by 'without loops' - sorry for being imprecise). Anything with c<n would work. A quick example would be n=6,c=2 and the output may be:
0 1 0 0 1 0
0 0 1 0 0 1
0 1 0 0 1 0
1 0 0 0 0 1
0 0 1 1 0 0
1 0 0 1 0 0
Matt Fig
Matt Fig am 8 Aug. 2012
Thanks! I see I misread your question. I thought you said that it was slow with n=c=1000, but now I see my mistake.

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Vic
Vic am 8 Aug. 2012
However, even that takes a while to find n=1000, c=100...

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