Out of Memory Error

Hi, this is my first post so i'll try to provide as much info as possible, sorry if I seem really simple or condescending that's really not my intention.. I just don't want to miss out anything!

I recently ran this code (its borrowed and slightly edited for my use, so I presume it's looping unnecessarily) and after about 6 hours of running it, it printed an out of memory error. So anyway, the idea is it creates a randomly generated small world network with the same properties of the one I'm investigating.. I only need the average C(i) and average L(i) of the network so any advice would be great! A few of the functions come from the Brain Connectivity Toolbox (https://sites.google.com/site/bctnet/)

clear

n = 6927; k = 3;

p = [0:0.0002:0.001,0.002,0.006,0.01,0.05,0.1:0.3:1];

m = length(p);

L = zeros(m,1); C = zeros(m,1);

Lat = smallw(n,k,0);

L0 = mean(mean(distance_bin(Lat)));

C0 = mean(clustering_coef_bu(Lat));

for i=1:m

    for j=1:10  

        A = rewire(Lat,p(i));    

        L(i) = L(i) + mean(mean(distance_bin(A)));

        C(i) = C(i) + mean(clustering_coef_bu(A));  

    end

    L(i) = mean(L(i)/10);

    C(i) =(C(i)/10);

end