Average clustering coefficient versus time.

<p>We may see the average clustering coefficient for MeSH global (GN) networks, compared to random Erdös-Rényi (ER) and to small-world Watts-Strogatz (WS) networks with the same parameters as these. We can notice that MeSH global networks are not similar to tree-like networks (clustering coefficient = 0), neither to random networks (with clustering coefficient rapidly decaying) but seem to be close to small-world networks with large and persistent values of clustering. In the other hand, MeSH networks are also different from lattices since the average shortest path lenght values are not proportional to the size of the network but rather to the logaritm of such size.