hat hypothesis using the library!
         </p>
         <p>Average clustering coefficients</p><pre class="codeinput">ccfs = clustercoeffs(A);
mean(ccfs)
<span class="comment">% The average clustering coefficient is a measure of the edge density</span>
<span class="comment">% throughout the graph.  A small value indicates that the network has few</span>
<span class="comment">% edges and they are well distributed throughout the graph.</span>
</pre><pre class="codeoutput">
ans =

    0.0160

</pre><p>Average 