user3288167
user3288167

Reputation: 1

Generate a sparse row stochastic matrix?

I'm trying to generate a sparse stochastic matrix with Matlab but currently running into problems. Here is where I'm currently at.

N=10
i = round(rand(1,N)*10)+1 
j = round(rand(1,N)*10)+1

S1 = sparse (i,j,1,N,N);
S = full(S1)

rowsum = sum(S,2); 
S = bsxfun(@rdivide, S, rowsum); 

Now this last line is where it fails. There are some zero rows in the sparse matrix.

So my question is how can I normalize each row yet preserve the zero rows?

Upvotes: 0

Views: 823

Answers (1)

Daniel
Daniel

Reputation: 36720

This is a very simple model i would use:

%logical matrix, a web page links to 20% of the other websites on average. This is a strange model, but I don't have a better idear:
doeslink=rand(N)<.2.*1-eye(N)
%generate random link weights
S=rand(N).*doeslink
%avoid nans
rowsum(rowsum==0)=1
%normalise
S = bsxfun(@rdivide, S, rowsum);

Upvotes: 1

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