**Figure
4. The fundamental differences between a random network (for
example an Erdős-Rényi network) and a scale
free network.** a) shows a
random network of *N *= 10 and *P *= 0.2. This type of network grows
with a homogeneous degree distribution,* i.e.*, *K ≈ *< *K *>
and the degree function grows in the same way as for a Poisson distribution
(c); where most of the nodes (e) have more or less the same number of links
(red dots) as their neighboring nodes (green dots). (b) In contrast, scale free
networks are non-homogeneous, the characteristic degree distribution is not
peaked and instead approximates a power law (d); these types of network grow
preferentially around a few nodes “Hubs” -the red dots- where most
of the links are concentrated: green dots (f) (Barabási,
2003). |