We find that the topologies of real world networks, such as those formed within human societies, by the Internet, or among cellular proteins, are dominated by the mode of the interactions considered a
The statistical results were computed with a two-way linear mixed model with longitudinal time as within-subject fact, gender as between-subject factor and time by gender as interaction. The effect of
Topology classes with a higher variance in-degree distribution have greater complexity. The same result holds for all orders and sizes considered. Topology classes are described by three groups of num