# How to create random graph?

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Deepthi B on 10 May 2021
Commented: Rayan Glus on 29 May 2021
Hi ,
I want to check whether the network that I have obtained is a small world network or not. For that I have to find out the clustering coefficient and shortest path length of a random network with the same number of nodes and links in my network. Is it possible to find out?

Christine Tobler on 10 May 2021
You can use
s = randi(n, e, 1);
t = randi(n, e, 1);
G = graph(s, t, [], n);
which will give you a graph with n nodes and e edges. Note that G may have multiple edges connecting the same two nodes, and may also have self-loops (edges connecting a node to itself). If you don't want repeating edges, use the following instead:
G = graph(true(n)); % Self-loops are possible
%G = graph(true(n), 'omitselfloops'); % Alternative without self-loops
p = randperm(numedges(G), e);
G = graph(G.Edges(p, :));
Rayan Glus on 29 May 2021
Thank you so much for the nice clarification, Christine.
Your code was able to generate a graph of 6000 nodes with p=0.6, and then plot it in just couple of seconds.

Deepthi B on 13 May 2021
Thank You